{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 主题四：数据结构与对象-技术知识"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **应用目标**\n",
    "    1. **阶段实战：利用数据结构的数据存储与操作功能，实现一个信息化管理系统**\n",
    "    2. **综合实战：利用数据结构与算法，初步实现决策树算法**\n",
    "    \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **技能目标**\n",
    "    1. **能熟练实现各种基础算法并具备基础的算法思维**\n",
    "    2. **基本技术应用能力**\n",
    "        - `能使用各种内置数据结构；`\n",
    "        - `能实现各种基础算法：排序、查找等；`\n",
    "        - `能应用算法思想到数值计算中；`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **知识点目标**\n",
    "    1. **掌握对象概念与对象应用**\n",
    "        - `对象的概念；`\n",
    "        - `构造器与创建对象；`\n",
    "        - `对象的运算符；`\n",
    "        - `对象的方法；`\n",
    "        - `可迭代对象；`\n",
    "        - `可枚举对象；`\n",
    "\n",
    "    2. **掌握元组数据结构**\n",
    "        - `构建元组对象；`\n",
    "        - `元组运算符；`\n",
    "        - `元组数据操作；`\n",
    "\n",
    "    3. **掌握字符串数据结构**\n",
    "        - `构建字符串对象；`\n",
    "        - `字符串运算符；`\n",
    "        - `字符串数据操作；`\n",
    "\n",
    "    4. **掌握列表数据结构**\n",
    "        - `构建列表对象；`\n",
    "        - `列表运算符；`\n",
    "        - `列表数据操作；`\n",
    "\n",
    "    5. **掌握字典数据结构**\n",
    "        - `构建字典对象；`\n",
    "        - `字典运算符；`\n",
    "        - `字典数据操作；`\n",
    "\n",
    "    6. **掌握集合数据结构**\n",
    "        - `构建集合；`\n",
    "        - `集合运算符；`\n",
    "        - `集合数据操作；`\n",
    "\n",
    "    7. **掌握基础算法**\n",
    "        - `排序算法；`\n",
    "        - `查找算法；`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 对象的概念与应用"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 对象的概念\n",
    "\n",
    "- 一提对象或者面向对象，大家都产生紧张的感觉，实际编程语言中的对象本质是一组数据，尤其在Python中更是万事万物皆对象，包括基本的数据类型与内置的数据结构都是对象。\n",
    "\n",
    "\n",
    "\n",
    "- 在前面接触到的数据要么是全局变量，要么是局部变量，这是两种极端的情况：\n",
    "    - 全局变量过多，影响程序的加载速度，并占用过多的系统内存。\n",
    "    - 局部变量过多，程序模块之间的数据处理流中的数据全靠参数传递，过多的参数传递，增加程序模块之间的耦合性（依赖关系更加紧密）\n",
    "\n",
    "\n",
    "- 对象实际是一组数据，具备如下两个特征：\n",
    "    - 数据生命周期整体性：对象作为一组数据的整体，创建一起创建，释放一起释放；\n",
    "    - 数据处理封闭性：对象的数据处理只对对象中的数据进行操作。数据也只服务于这些操作函数，其中的每个数据的作用域介于全局变量与局部变量之间：在对象存在的时候像全局，整个对象可以是局部的。\n",
    "    \n",
    "    \n",
    "- 所谓对象就是一组自带数据操作与运算的数据体，对象也是变量。\n",
    "    - 与变量一样也需要分配空间，初始化数据；\n",
    "    - 对象的数据处理两种方式，外部函数与运算处理，对象自己的函数处理。前提都是对象变量已经存在或者非空。\n",
    "    \n",
    "\n",
    "- 对象与一般的变量概念一样，也是有类型的，对象的类型也称为类。\n",
    "    - 对象的创建使用类型的构造器创建（类型的构造器也是一种运算符）。\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 构造器与对象创建"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Python中的构造器\n",
    "\n",
    "- Python的构造器有固定的名字：\n",
    "    - `__init__(赋给对象的数据或者数据列表)`\n",
    "    \n",
    "    \n",
    "- int类型的构造器\n",
    "    - `def __init__(self, x, base=10): `\n",
    "    \n",
    "   \n",
    "- 使用help查看帮助\n",
    "    -  `pydoc3 int`\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 使用构造器构建对象\n",
    "\n",
    "- 尽管类型的构造器是`__init__`，但是创建对象使用的是类型名（调用的是`__init__`构造器）\n",
    "    - 对象变量名 =  类型名(数据列表)\n",
    "\n",
    "\n",
    "- 例子：\n",
    "\n",
    "```\n",
    "    # coding = utf-8\n",
    "\n",
    "    a = int('20', 8)\n",
    "    print(a)\n",
    "    \n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    上面例子使用字符串'20'按照8进制构造了一个int（整数）对象。\n",
    "\n",
    "- 构造器本质是一个函数，所以上面的调用与函数一样，参数遵循函数的规则。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 对象的运算符\n",
    "\n",
    "- 在类型的帮助文档中，所有运算符都是一个函数的形式，都是两个下划线`__`开始与结束，比如加法运算符\n",
    "\n",
    "```python\n",
    "\n",
    "       __add__(self, value, /)\n",
    "          Return self+value.\n",
    "\n",
    "```\n",
    "\n",
    "- 对象支持哪些运算符，可以在类型的文档找到。\n",
    "\n",
    "\n",
    "- 例子：\n",
    "\n",
    "```\n",
    "\n",
    "    # coding = utf-8\n",
    "\n",
    "    a = int('20', 8)\n",
    "\n",
    "    print(a + 30)\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - 上面例子中+ 运算符，调用的就是`__add__`函数。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 对象的方法\n",
    "\n",
    "- 对象方法分成两种：\n",
    "    - 普通的方法\n",
    "    - 属性方法\n",
    "    \n",
    "- 普通方法的调用：\n",
    "    - `对象.方法(参数.......)`\n",
    "    - `变量 = 对象.方法(参数.......)`\n",
    "    \n",
    "- 属性方法的调用：\n",
    "    - 获取值：`变量 = 对象.属性`\n",
    "    - 设置值：`对象.属性 = 值`\n",
    "    \n",
    "    - **说明：**\n",
    "        - 可赋值的属性，称为写属性；可取值的属性，称为可读属性。\n",
    "        - 有的属性不能赋值，称为**只读属性**\n",
    "        - 有的属性会与数据混淆在一起，要注意区分。\n",
    "\n",
    "- 方法调用例子：\n",
    "\n",
    "```\n",
    "    # coding = utf-8\n",
    "\n",
    "    a = int('20', 8)\n",
    "\n",
    "    print(a + 30)\n",
    "\n",
    "    print(a.bit_length())\n",
    "    print(a.to_bytes(a.bit_length(), 'big'))\n",
    "    \n",
    "```\n",
    "\n",
    "- 属性例子：\n",
    "\n",
    "```python\n",
    "\n",
    "import requests\n",
    "\n",
    "session = requests.Session()\n",
    "session.get('https://www.baidu.com')   # 对象方法\n",
    "\n",
    "print(session.cookies)    # 对象属性\n",
    "print(session.headers)\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 可迭代对象\n",
    "\n",
    "- 在初学Python的时候，有三个名词容易困扰入门者：可迭代对象，迭代器，生成器。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 生成器\n",
    "\n",
    "- 我们在函数部分讲过，本质使用一段代码，在调用send函数的时候，代码执行，得到（生成）一个数据，还可以在调用代码生成数据的时候传递参数。\n",
    " \n",
    "\n",
    "- 生成器调用例子：\n",
    "\n",
    "```python\n",
    "\n",
    "    def mygenerator():\n",
    "\n",
    "        r = yield 20    # 返回第一次\n",
    "\n",
    "        yield r + 88    # 返回第二次\n",
    "\n",
    "\n",
    "    mg = mygenerator()\n",
    "    re = mg.send(None)    # 调用第一次\n",
    "    print(re)\n",
    "    re = mg.send(100)       # 调用第二次\n",
    "    print(re)\n",
    "\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 可迭代对象\n",
    "\n",
    "- 可迭代对象不是一种类型，本质是实现`def   __iter__(self)`函数的对象，通过这个函数可以得到迭代器（有的时候就是对象本身），只要看见`def   __iter__(self)`函数实现的对象都是可迭代对象。 `__iter__`函数返回的是迭代器对象。\n",
    "    \n",
    "- 凡事可以返回迭代器的对象都是可迭代对象。\n",
    "    - 内置数据结构\n",
    "    - 生成器\n",
    "    - 打开的文件对象\n",
    "\n",
    "- 判定可迭代对象的例子：\n",
    "\n",
    "```python\n",
    "\n",
    "        # encoding = utf-8\n",
    "        from collections import Iterable\n",
    "\n",
    "\n",
    "        def mygenerator():\n",
    "            yield '数据一'\n",
    "            yield '数据二'\n",
    "            yield '数据二'\n",
    "\n",
    "\n",
    "        mg = mygenerator()\n",
    "        a = [1, 2, 3, 4]\n",
    "        b = iter(a)\n",
    "\n",
    "\n",
    "        class A:\n",
    "            def __iter__(self):\n",
    "                return self\n",
    "\n",
    "\n",
    "        fd = open('ds01_int.py','r')\n",
    "\n",
    "        c = A()\n",
    "\n",
    "        re = isinstance(a, Iterable)      # True   内置数据结构\n",
    "        print(re)\n",
    "        re = isinstance(b, Iterable)      # True   迭代器对象\n",
    "        print(re)\n",
    "        re = isinstance(c, Iterable)      # True   用户实现的可迭代对象\n",
    "        print(re)\n",
    "        re = isinstance(mg, Iterable)      # True    生成器对象\n",
    "        print(re)\n",
    "        re = isinstance(fd, Iterable)      # True    打开的文件对象\n",
    "        print(re)\n",
    "```\n",
    "\n",
    "\n",
    "- for循环要求的对象必须是可迭代对象。下面是一个例子，在for使用不可迭代对象，会抛出`TypeError: 'int' object is not iterable`异常。\n",
    "\n",
    "```python\n",
    "\n",
    "        a = int(20)\n",
    "        for i in a:\n",
    "            print(i)\n",
    "\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 迭代器\n",
    "\n",
    "- 迭代器是一种类型，这种类型还必须实现一个函数规范`__next__(self, /)`，没有实现`__next__`函数的都不是迭代器。\n",
    "\n",
    "\n",
    "- 迭代器可以使用next函数迭代调用。\n",
    "\n",
    "```python\n",
    "    class A:\n",
    "        def __next__(self):\n",
    "            return 20\n",
    "\n",
    "\n",
    "    a = A()\n",
    "    re = next(a)\n",
    "    print(re)\n",
    "```\n",
    "\n",
    "- for循环要求`__iter__`返回的对象是迭代器类型，下面对象尽管是可迭代对象，但会抛出异常`ypeError: iter() returned non-iterator of type 'A'`异常。\n",
    "\n",
    "```python\n",
    "\n",
    "    class A:\n",
    "        def __iter__(self):\n",
    "            return self\n",
    "\n",
    "\n",
    "    a = A()\n",
    "    for i in a:\n",
    "        print(i)\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - for循环的对象需要满足是可迭代对象，意味着：\n",
    "        - 从这个可迭代对象可以得到一个迭代器。\n",
    "    \n",
    "    - 从语法结构来讲对象的`__iter__`返回的不是迭代器也可以称呼为可迭代对象，该对象只要实现了`__iter__`就是可迭代对象，但没有多大意义，因为`__iter__`本身就是用来获取容器的迭代器的（或者暴露容器迭代器的函数接口）。\n",
    "    \n",
    "    - 严格意来讲，只有通过`__iter__`返回一个迭代器的对象才称呼为可迭代对象。（我们后面都指的是严格意义的可迭代对象）\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 内置数据结构的迭代器类型\n",
    "    - 使用iter函数可以从可迭代对象得到迭代器对象。\n",
    "    \n",
    "```\n",
    "    def mygenerator():\n",
    "        yield '数据一'\n",
    "        yield '数据二'\n",
    "        yield '数据二'\n",
    "    \n",
    "    mg = mygenerator()\n",
    "    ds1 = (1, 2, 3, 4)\n",
    "    ds2 = [1, 2, 3, 4]\n",
    "    ds3 = {1, 2, 3, 4}\n",
    "    ds4 = {1: 'a', 2: 'b', 3: 'c', 4: 'd'}\n",
    "\n",
    "\n",
    "    print(iter(ds1))\n",
    "    print(iter(ds2))\n",
    "    print(iter(ds3))\n",
    "    print(iter(ds4))\n",
    "    print(iter(mg))\n",
    "\n",
    "```\n",
    "\n",
    "- 返回的迭代器类型如下：\n",
    "\n",
    "```shell\n",
    "\n",
    "    <tuple_iterator object at 0x10e206898>\n",
    "    <list_iterator object at 0x10e206898>\n",
    "    <set_iterator object at 0x10f585828>\n",
    "    <dict_keyiterator object at 0x10f57cc28>\n",
    "    <generator object mygenerator at 0x10f552468>\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - iter对生成器返回的是生成器类型。\n",
    "    - 迭代器对数据迭代的方式不同。\n",
    "    - 可迭代对象是对对象本身的迭代。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 可枚举对象\n",
    "\n",
    "- 枚举对象是另外类型的迭代器，只是`__next__`返回的数据不同。因为枚举对象也实现了：\n",
    "    - `__iter__`\n",
    "    - `__next__`\n",
    "    \n",
    "- 枚举对象返回的值与迭代器不同，枚举对象包含位置索引（位置从0开始）\n",
    "\n",
    "```python\n",
    "\n",
    "        # encoding = utf-8\n",
    "\n",
    "\n",
    "        def mygenerator():\n",
    "            yield '数据一'\n",
    "            yield '数据二'\n",
    "            yield '数据二'\n",
    "\n",
    "\n",
    "        mg = mygenerator()\n",
    "\n",
    "        ds1 = (1, 2, 3, 4)\n",
    "        ds2 = [1, 2, 3, 4]\n",
    "        ds3 = {1, 2, 3, 4}\n",
    "        ds4 = {1: 'a', 2: 'b', 3: 'c', 4: 'd'}\n",
    "\n",
    "        e1 = enumerate(mg, start=0)\n",
    "        for e in e1:\n",
    "            print(e)\n",
    "        print('--------------')\n",
    "        e2 = enumerate(ds2, start=1)\n",
    "        for e in e2:\n",
    "            print(e)\n",
    "        print('--------------')\n",
    "        e4 = enumerate(ds4, start=2)\n",
    "        for e in e4:\n",
    "            print(e)\n",
    "\n",
    "```\n",
    "\n",
    "- 输出结果为：\n",
    "\n",
    "```shell\n",
    "\n",
    "        (0, '数据一')\n",
    "        (1, '数据二')\n",
    "        (2, '数据二')\n",
    "        --------------\n",
    "        (1, 1)\n",
    "        (2, 2)\n",
    "        (3, 3)\n",
    "        (4, 4)\n",
    "        --------------\n",
    "        (2, 1)\n",
    "        (3, 2)\n",
    "        (4, 3)\n",
    "        (5, 4)\n",
    "\n",
    "```\n",
    "\n",
    "\n",
    "- 枚举对象也是迭代器，也是可迭代对象。\n",
    "- 不管可迭代对象还是迭代器，都是提供数据结构的一种遍历方式，Python还专门提供for循环结构实现更加简洁的遍历方式。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 元组\n",
    "\n",
    "- 元组是内置内型使用关键字tuple表示，也是一个类型，也是一个类，该类享受的命名是关键字，不是用户标识字，也称`第一类对象`\n",
    "\n",
    "- 使用如下指令可以查看tuple的帮助：\n",
    "    - `pydoc3  tuple`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 构建元组对象\n",
    "\n",
    "- 构造器\n",
    "\n",
    "```python\n",
    "\n",
    " |  tuple() -> empty tuple\n",
    "        构建一个空的元组（通常没有意义）\n",
    " |  tuple(iterable) -> tuple initialized from iterable's items\n",
    "        使用可迭代对象来构建一个元组\n",
    "\n",
    "```\n",
    "\n",
    "- 问题说明：\n",
    "    - 迭代器与这些内置结构的区别在于，这些内置类型时数据容器，迭代器用来实现对容器中的数据遍历。\n",
    "    - 可迭代对象是泛指可以返回迭代器的对象（具有可迭代特征的对象），不是一种对象类型，迭代器是一种具体的类型，不同的迭代器对象，对不同格式的数据进行迭代；\n",
    "    - 枚举器是一种特殊的迭代器。\n",
    "    - iter函数用来返回容器的迭代器（调用`__iter__`函数）。\n",
    "    - next函数用来实现数据迭代（调用`__next__`函数）。\n",
    "    \n",
    "- 为什么要把可迭代对象转换成tuple等数据结构？\n",
    "    - tuple，list，dict，set具有比可迭代对象更强大的操作功能。可迭代对象可以返回一个迭代器，迭代器可以实现数据遍历，这是所有基础数据结构基本的功能，但数据结构不仅仅这么单一的功能。可以从下面运算符与函数操作中体验，这些运算符与函数式迭代器没有的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 2, 3, 4)\n"
     ]
    }
   ],
   "source": [
    "st = {1, 2, 3, 4}\n",
    "\n",
    "tp = tuple(st)\n",
    "\n",
    "print(tp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 元组运算符\n",
    "\n",
    "- 运算运算的API（下面的各种数据结构以此类推）：\n",
    "\n",
    "```python\n",
    " |  __add__(self, value, /)\n",
    " |      Return self+value.\n",
    " |  __contains__(self, key, /)\n",
    " |      Return key in self.\n",
    " |  __eq__(self, value, /)\n",
    " |      Return self==value.\n",
    " |  __ge__(self, value, /)\n",
    " |      Return self>=value. \n",
    " |  __getitem__(self, key, /)\n",
    " |      Return self[key]. \n",
    " |  __gt__(self, value, /)\n",
    " |      Return self>value. \n",
    " |  __le__(self, value, /)\n",
    " |      Return self<=value. \n",
    " |  __len__(self, /)\n",
    " |      Return len(self). \n",
    " |  __lt__(self, value, /)\n",
    " |      Return self<value.\n",
    " |  __mul__(self, value, /)\n",
    " |      Return self*value.\n",
    " |  __ne__(self, value, /)\n",
    " |      Return self!=value.\n",
    " |  __repr__(self, /)\n",
    " |      Return repr(self).\n",
    " |  __rmul__(self, value, /)\n",
    " |      Return value*self.\n",
    " |  __iter__(self, /)\n",
    " |      Implement iter(self). \n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### tuple不是迭代器\n",
    "\n",
    "- 从上面运算符，可以看出tuple不是迭代器：因为没有`__next__`函数。\n",
    "- 下面例子可以说明："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'tuple' object is not an iterator",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-9b3e273d91fa>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mds1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mds1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: 'tuple' object is not an iterator"
     ]
    }
   ],
   "source": [
    "ds1 = (1, 2, 3, 4)\n",
    "next(ds1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### tuple具有迭代器\n",
    "\n",
    "- 使用`__iter__`函数返回一个迭代器，迭代器可以并不是本身，可以是其他迭代器来迭代容器的数据，一般容器本身也可以实现为迭代器（安全性不够高）。\n",
    "\n",
    "- 下面使用例子来说明，tuple的迭代器的类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'tuple_iterator'>\n",
      "<class 'tuple_iterator'>\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n"
     ]
    },
    {
     "ename": "StopIteration",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mStopIteration\u001b[0m                             Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-917072c0321e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mit\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mit\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mit\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m    \u001b[0;31m# 通过异常信息来判别迭代是否结束。\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mStopIteration\u001b[0m: "
     ]
    }
   ],
   "source": [
    "ds1 = (1, 2, 3, 4)\n",
    "print(type(ds1.__iter__()))\n",
    "\n",
    "# 得到tuple的迭代器：不是本身。\n",
    "print(type(iter(ds1)))\n",
    "\n",
    "# 正宗的得到tuple的迭代器的方式。\n",
    "it = iter(ds1)\n",
    "\n",
    "# 对迭代器进行迭代\n",
    "print(next(it))\n",
    "print(next(it))\n",
    "print(next(it))\n",
    "print(next(it))\n",
    "print(next(it))    # 通过异常信息来判别迭代是否结束。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 元组的加法运算\n",
    "\n",
    "-  加法的定义\n",
    "\n",
    "```python\n",
    "     |  __add__(self, value, /)\n",
    "     |      Return self+value.\n",
    "```\n",
    "\n",
    "- tuple的加法只支持元组间的加法，实际是两个元组的合并，\n",
    "\n",
    "- tuple加法的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 2, 3, 4, 5, 6, 7, 8, 9)\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "can only concatenate tuple (not \"int\") to tuple",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-a5f660039775>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mds3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mds4\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mds1\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: can only concatenate tuple (not \"int\") to tuple"
     ]
    }
   ],
   "source": [
    "ds1 = (1, 2, 3, 4)\n",
    "ds2 = (5, 6, 7, 8, 9)\n",
    "\n",
    "ds3 = ds1 + ds2 \n",
    "print(ds3)\n",
    "\n",
    "ds4 = ds1 + 5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### tuple的in运算\n",
    "\n",
    "- in运算符定义\n",
    "\n",
    "```python\n",
    "\n",
    "    |  __contains__(self, key, /)\n",
    "    |      Return key in self.\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - key可以是任意类型，因为tuple容器可以容纳任意类型。\n",
    "    - in支持not复合\n",
    "    \n",
    "- 例子代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n",
      "True\n",
      "False\n",
      "False\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "ds1 = (1, 2, 3, 4,(2,3), [2, 3])\n",
    "print( 2 in ds1)\n",
    "print( (2,3) in ds1)\n",
    "print( [2,3] in ds1)\n",
    "print( {2,3} in ds1)\n",
    "# not与in的结合\n",
    "print( not 2 in ds1)\n",
    "\n",
    "# not 与in的结合（推荐这种结合方式）\n",
    "print( 2 not in ds1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### tuple的乘法运算\n",
    "\n",
    "- 乘法定义：\n",
    "\n",
    "```python\n",
    "\n",
    "     |  __rmul__(self, value, /)\n",
    "     |      Return value*self.\n",
    "     |\n",
    "     |  __mul__(self, value, /)\n",
    "     |      Return self*value.\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - 上面包含左乘与右乘。\n",
    "    - 乘法运算只支持与整数运算。\n",
    "    - 乘法的函数是克隆，value用来指定克隆的次数。\n",
    "    - 左乘与右乘的功能一样，但是提供更加灵活的使用方式（数乘满足交换律）\n",
    "    \n",
    "    \n",
    "- 例子代码：    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 2, 3, 4, [2, 3], 1, 2, 3, 4, [2, 3])\n",
      "(1, 2, 3, 4, [2, 3], 1, 2, 3, 4, [2, 3])\n"
     ]
    }
   ],
   "source": [
    "ds1 = (1, 2, 3, 4, [2, 3])\n",
    "ds2 = ds1 * 2\n",
    "ds3 = 2 * ds1\n",
    "print(ds2)\n",
    "print(ds3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### tuple的下标运算\n",
    "\n",
    "- tuple下标运算的定义\n",
    "\n",
    "```python\n",
    "\n",
    "        |  __getitem__(self, key, /)\n",
    "        |      Return self[key].\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - `__getitem__`表示取值； `__setitem__`表示修改值；\n",
    "    - tuple只有`__getitem__`，是只读下标；\n",
    "    - key表示元组中元素的位置，位置从0开始。\n",
    "    \n",
    "    \n",
    "- 例子代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "3\n",
      "[2, 3]\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "'tuple' object does not support item assignment",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-9-2936e389db2b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m \u001b[0mds1\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mds1\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m88\u001b[0m   \u001b[0;31m# 报错（因为tuple只读）\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
     ]
    }
   ],
   "source": [
    "ds1 = (1, 2, 3, 4, [2, 3])\n",
    "print( ds1[0] )\n",
    "print( ds1[2] )\n",
    "print( ds1[4] )\n",
    "\n",
    "ds1[1] = 88   # 报错（因为tuple只读）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### tuple的数据长度\n",
    "\n",
    "- 长度运算的定义\n",
    "\n",
    "```python\n",
    "\n",
    "     |  __len__(self, /)\n",
    "     |      Return len(self).\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - 这个运算对应的运算操作是len函数。\n",
    "    \n",
    "- 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n",
      "5\n"
     ]
    }
   ],
   "source": [
    "ds1 = (1, 2, 3, 4, [2, 3])\n",
    "\n",
    "print(len(ds1))    # 推荐方式\n",
    "\n",
    "print(ds1.__len__()) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### tuple的repr运算\n",
    "\n",
    "- repr运算定义：\n",
    "\n",
    "```\n",
    "        |  __repr__(self, /)\n",
    "        |      Return repr(self).\n",
    " \n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - 这个运算比较常用，就是在使用print函数输出，会自动调用该运算，该运算返回一个对象的字符串描述；\n",
    "    - repr运算使用repr函数调用。\n",
    "    \n",
    "- 注意：\n",
    "    - repr返回的字符串，可以使用eval转换为对象。\n",
    "    \n",
    "    - 如果`__str__`存在，print优先调用`__str__`运算；\n",
    "    \n",
    "- 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 2, 3, 4)\n",
      "(1, 2, 3, 4)\n",
      "<class 'tuple'> (1, 2, 3, 4)\n"
     ]
    }
   ],
   "source": [
    "ds1 = (1, 2, 3, 4)\n",
    "\n",
    "re = repr(ds1)\n",
    "print(re)\n",
    "\n",
    "er = ds1.__repr__()\n",
    "print(er)\n",
    "\n",
    "v = eval(er)\n",
    "print(type(v), v)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### tuple的比较运算\n",
    "\n",
    "- 比较运算的定义（标准6大比较运算）\n",
    "\n",
    "```python\n",
    "\n",
    " |  __eq__(self, value, /)\n",
    " |      Return self==value.\n",
    " |  __ne__(self, value, /)\n",
    " |      Return self!=value.\n",
    "\n",
    " |  __ge__(self, value, /)\n",
    " |      Return self>=value.\n",
    " |  __gt__(self, value, /)\n",
    " |      Return self>value.\n",
    "\n",
    " |  __le__(self, value, /)\n",
    " |      Return self<=value.\n",
    " |  __lt__(self, value, /)\n",
    " |      Return self<value.\n",
    "\n",
    "\n",
    "```\n",
    "\n",
    "- tuple的比较运算采用的是取比较元组较短的作为比较范围，并对对应元素比较，多出的元素不比较，全部比较返回True，则比较返回True，一个返回False，停止比较，并返回False。\n",
    "    - `==`与`!=`含义是明确的\n",
    "    - `<`与`<=`与`>`与`>=`的\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n",
      "True\n",
      "True\n",
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "ds1 = (3, 5, 1, 7)\n",
    "ds2 = (1, 1)\n",
    "ds3 = (-1,)\n",
    "ds4 = (3, 3, 1, 5, 9)\n",
    "\n",
    "print(ds2 <= ds1)\n",
    "print(ds3 <= ds1)\n",
    "print(ds4 <= ds1)\n",
    "\n",
    "print(ds2 < ds1)\n",
    "print(ds3 < ds1)\n",
    "print(ds4 < ds1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 元组数据操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### tuple的count操作\n",
    "\n",
    "- 定义：\n",
    "\n",
    "```python\n",
    "\n",
    " |  count(...)\n",
    " |      T.count(value) -> integer -- return number of occurrences of value\n",
    "\n",
    "```\n",
    "\n",
    "- 用来统计tuple中某个值出现的次数。\n",
    "    - 参数可以是任意类型；\n",
    "    \n",
    "    \n",
    "- 例子代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "ds = (3, 3, 1, 5, 9)\n",
    "\n",
    "print(ds.count(3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### tuple的index操作\n",
    "\n",
    "- 定义：\n",
    "\n",
    "```python\n",
    "\n",
    "    |  index(...)\n",
    "    |      T.index(value, [start, [stop]]) -> integer -- return first index of value.\n",
    "    |      Raises ValueError if the value is not present.\n",
    "\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - 用来搜索某个值在元组中的位置。可以指定搜索范围\\[start，stop\\]，\n",
    "        - value：被搜索值\n",
    "        - start：搜索开始位置，\n",
    "        - stop：搜索结束位置\n",
    "    \n",
    "    - 使用参数不能指定参数keyword。\n",
    "    - 搜索范围使用的是闭开区间\\[start, stop)。\n",
    "    - 如果搜索不到，会抛出异常`ValueError: tuple.index(x): x not in tuple`。\n",
    "    \n",
    "    - 找到后停止搜索，并返回下标；\n",
    "    \n",
    "- 例子代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "4\n",
      "3\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "tuple.index(x): x not in tuple",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-14-5298d29b0c18>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m: tuple.index(x): x not in tuple"
     ]
    }
   ],
   "source": [
    "ds = (3, 3, 1, 5, 9)\n",
    "\n",
    "print(ds.index(3))\n",
    "\n",
    "print(ds.index(9))\n",
    "\n",
    "# print(ds.index(8))\n",
    "\n",
    "\n",
    "print(ds.index(5, 0, 4))\n",
    "\n",
    "print(ds.index(5, 0, 3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 字符串\n",
    "\n",
    "- 真正意义上，字符串实际是一个特殊的元组。不过处理的数据是字符罢了。\n",
    "- 练习：\n",
    "    - 使用pydoc 查看str类型的帮助。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 构建字符串对象\n",
    "\n",
    "- 构造器定义：\n",
    "\n",
    "```python\n",
    "\n",
    "    class str(object)\n",
    "     |  str(object='') -> str\n",
    "     |  str(bytes_or_buffer[, encoding[, errors]]) -> str\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - str构造器两种用法：\n",
    "        - 可以使用任意对象构建字符串（或者说把任意对象转换为字符串对象）\n",
    "        - 可以使用字节流（字节数组）构建字符串（需要指定编码格式）\n",
    "    - 使用引号是Python解释器自动构造。(这个是常用的方式)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 字符串运算符\n",
    "\n",
    "- 元组有的运算符，字符串基本上都有，作用与用法与一样，但是字符串有自己独特的运算符：\n",
    "\n",
    "```\n",
    "|  __mod__(self, value, /)\n",
    "|      Return self%value.\n",
    "|  __rmod__(self, value, /)\n",
    "|      Return value%self.\n",
    "\n",
    "|  __sizeof__(...)\n",
    "|      S.__sizeof__() -> size of S in memory, in bytes\n",
    "\n",
    "|  __str__(self, /)\n",
    "|      Return str(self).\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串的%运算符\n",
    "\n",
    "- 字符串的%运算符，不是求余的功能，而是格式化的功能。\n",
    "\n",
    "- 例子代码:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello %d\n",
      "Hello 30\n",
      "world hello\n"
     ]
    }
   ],
   "source": [
    "s = 'Hello %d'\n",
    "print(s)\n",
    "\n",
    "# print(20 % s)     # __rmod__歧义\n",
    "print(s % 30)\n",
    "\n",
    "\n",
    "\n",
    "t = 'world %s'\n",
    "u = 'hello'\n",
    "print(u.__rmod__(t))     # 防止歧义，没有对应的%应用于这个运算符\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串的__sizeof__运算\n",
    "\n",
    "- 定义：\n",
    "\n",
    "```python\n",
    "\n",
    "|  __sizeof__(...)\n",
    "|      S.__sizeof__() -> size of S in memory, in bytes\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - 用来返回字符串占用的内存大小\n",
    "    \n",
    "\n",
    "- 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "54\n"
     ]
    }
   ],
   "source": [
    "s = 'hello'\n",
    "print(s.__sizeof__())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 字符串数据操作\n",
    "\n",
    "- 字符串的操作比较多，这里按照功能分类来说明；\n",
    "- 其中count与index在元组使用过，这里不做说明。\n",
    "\n",
    "\n",
    "- **强调说明**：\n",
    "    >**下面的所有操作，不影响字符串本身，结果都是在克隆上的操作。**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串大小写操作\n",
    "\n",
    "- 提供三种大写操作\n",
    "    - `S.capitalize() -> str`    \n",
    "        - 首字母大写\n",
    "    - `S.lower() -> str`\n",
    "        - 全部小写\n",
    "    - `S.upper() -> str`\n",
    "        - 全部大写\n",
    "    - `S.casefold() -> str`\n",
    "        - 无大小写比较的字符串\n",
    "    - `S.swapcase() -> str`\n",
    "        - 大小写转换\n",
    "    - ` S.title() -> str`\n",
    "        - 标题字符串（每个单词的首字母大写）\n",
    "\n",
    "    \n",
    "- 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a very good day!\n",
      "this is a very good day!\n",
      "THIS IS A VERY GOOD DAY!\n",
      "this is a very good day!\n",
      "THIS IS A VERY GOOD DaY!\n",
      "This Is A Very Good Day!\n"
     ]
    }
   ],
   "source": [
    "s = 'this is a very good dAy!'\n",
    "\n",
    "print(s.capitalize())\n",
    "print(s.lower())\n",
    "print(s.upper())\n",
    "print(s.casefold())\n",
    "print(s.swapcase())\n",
    "print(s.title())     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串的字符类别判定\n",
    "\n",
    "- 字符串提供对字符类别判别：\n",
    "    - `S.isalnum() -> bool`\n",
    "        - 是否是字母数字\n",
    "    - `S.isalpha() -> bool`\n",
    "        - 是否是字母\n",
    "    - `S.isdecimal() -> bool`\n",
    "        - 是否是十进制数\n",
    "    - `S.isdigit() -> bool`\n",
    "        - 是否是数字\n",
    "    - `S.isidentifier() -> bool`\n",
    "        - 是否是标识符\n",
    "    - `S.islower() -> bool`\n",
    "        - 是否是小写\n",
    "    - `S.isnumeric() -> bool`\n",
    "        - 是否是数字字符\n",
    "    - `S.isprintable() -> bool`\n",
    "        - 是否是可打印字符\n",
    "    - `S.isspace() -> bool`\n",
    "        - 是否是空格\n",
    "    - `S.istitle() -> bool`\n",
    "        - 是否是标题字符\n",
    "    - `S.isupper() -> bool`\n",
    "        - 是否是大写\n",
    "\n",
    "- 使用例子："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n",
      "True\n",
      "True\n",
      "True\n",
      "True\n",
      "True\n",
      "False\n",
      "True\n",
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "print('a2'.isalnum())\n",
    "print('a'.isalpha())\n",
    "print('012'.isdecimal())\n",
    "print('0123456789'.isdigit())\n",
    "print('name_'.isidentifier())\n",
    "print('abcd1'.islower())\n",
    "print('012'.isnumeric())\n",
    "print('\\t'.isprintable())\n",
    "print('\\t'.isspace())\n",
    "print('Abc'.istitle())\n",
    "print('ABC'.isupper())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串查找与替换\n",
    "\n",
    "- 查找\n",
    "    - `S.find(sub[, start[, end]]) -> int`\n",
    "        - 在指定位置查找sub字符串，没有找到返回-1。\n",
    "    - `S.index(sub[, start[, end]]) -> int`\n",
    "        - 在指定位置查找sub字符串，没有找到返回`ValueError`异常\n",
    "    - `S.partition(sep) -> (head, sep, tail)`\n",
    "        - 查找sep分隔符，并返回分隔符前面，与后面的字符串。\n",
    "    - ------\n",
    "    - `S.rfind(sub[, start[, end]]) -> int`\n",
    "        - find的逆序版本\n",
    "    - `S.rindex(sub[, start[, end]]) -> int`\n",
    "        - index的逆序版本\n",
    "    - `S.rpartition(sep) -> (head, sep, tail)`\n",
    "        - partition的逆序版本\n",
    "- 替换\n",
    "    - `S.replace(old, new[, count]) -> str`\n",
    "        - 使用new替换old，count指定替换次数；\n",
    "    - `S.translate(table) -> str`\n",
    "        - 使用table中的字符替换（翻译）。要求table对象实现lookup/indexing方法，比如`__getitem__()`下标运算，字典，列表也可以（列表的元素应该是元组），其中字典中的key必须是unicode码，value可以是unicode码，字符串或者None。\n",
    "        - table可以使用str的一个工具函数`maketrans(x, y=None, z=None, /)`构造。\n",
    "    - `S.expandtabs(tabsize=8) -> str`\n",
    "        - 把tab替换成空格  \n",
    "        \n",
    "- str的静态函数maketrans\n",
    "\n",
    "    - 函数定义：`maketrans(x, y=None, z=None, /)`\n",
    "    - 这个函数主要创建translate使用的翻译表。\n",
    "\n",
    "    - 使用方式：\n",
    "        1. 一个参数，必须是字典，用来创建unicode映射\n",
    "        2. 两个参数，必须是两个长度相等的字符串，用来产生一个unicode字典；\n",
    "        3. 三个参数，最后一个参数就映射为None\n",
    "        \n",
    "- 查找的例子："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n",
      "-1\n"
     ]
    }
   ],
   "source": [
    "s = 'this is s very good day'\n",
    "\n",
    "print(s.find('is',0, len(s) +1 ))   # 位置从0开始\n",
    "print(s.find('kill',0, len(s) +1 ))   # 位置从0开始"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "substring not found",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-20-4ba73c89e7e4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0ms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'this is s very good day'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'is'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m   \u001b[0;31m# 位置从0开始\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'kill'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m   \u001b[0;31m# 位置从0开始\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m: substring not found"
     ]
    }
   ],
   "source": [
    "s = 'this is s very good day'\n",
    "print(s.index('is',0, len(s) +1 ))   # 位置从0开始\n",
    "print(s.index('kill',0, len(s) +1 ))   # 位置从0开始"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('this is s ', 'very', ' good day')\n"
     ]
    }
   ],
   "source": [
    "s = 'this is s very good day'\n",
    "print(s.partition('very'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 替换的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "thIS IS s very good day\n",
      "thIS is s very good day\n",
      "thIS IS s very good day\n"
     ]
    }
   ],
   "source": [
    "s = 'this is s very good day'\n",
    "print(s.replace('is', 'IS', 3))    # 最多替换3次\n",
    "print(s.replace('is', 'IS', 1))     # 最多替换1次\n",
    "print(s.replace('is', 'IS', -1))   # 全部替换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "!@is is s v^&* goo() ()*\n"
     ]
    }
   ],
   "source": [
    "s = 'this is s very good day'\n",
    "table = {\n",
    "    ord('t'): ord('!'),\n",
    "    ord('h'): ord('@'),\n",
    "    ord('e'): ord('^'),\n",
    "    ord('r'): ord('&'),\n",
    "    ord('y'): '*',\n",
    "    ord('d'): '()',\n",
    "    ord('a'): None,     # a字符被删除\n",
    "}\n",
    "\n",
    "print(s.translate(table))   # 全部替换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{97: 42, 101: 38, 105: 37, 111: 36, 117: 35}\n",
      "th%s %s * v&ry g$$d  d*y....w$w!!!\n"
     ]
    }
   ],
   "source": [
    "intab = \"aeiou\"\n",
    "outtab = \"*&%$#\"\n",
    "trantab = str.maketrans(intab,outtab)\n",
    "\n",
    "str = \"this is a very good  day....wow!!!\"\n",
    "print(trantab)\n",
    "print(str.translate(trantab))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{116: '!', 104: '@', 97: None}\n"
     ]
    }
   ],
   "source": [
    "in_table = {\n",
    "    't': '!',\n",
    "    'h': '@',\n",
    "    'a': None,     # a字符被删除\n",
    "}\n",
    "trantab = str.maketrans(in_table)\n",
    "print(trantab)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{97: 42, 101: 38, 105: 37, 111: 36, 117: 35, 109: None, 108: None, 115: None, 116: None}\n"
     ]
    }
   ],
   "source": [
    "intab = \"aeiou\"\n",
    "outtab = \"*&%$#\"\n",
    "third = 'mlst'\n",
    "trantab = str.maketrans(intab,outtab, third)\n",
    "print(trantab)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串空格与填充操作\n",
    "\n",
    "- 字符串提供的空格操作有：\n",
    "    - `S.center(width[, fillchar]) -> str`\n",
    "        - 扩大字符串长度，原来的字符串居中，两边填充空格或者fillchar\n",
    "    - `S.ljust(width[, fillchar]) -> str`\n",
    "        - 扩大字符串长度，原来的字符串居左，两边填充空格或者fillchar\n",
    "    - `S.rjust(width[, fillchar]) -> str`\n",
    "        - 扩大字符串长度，原来的字符串居右，两边填充空格或者fillchar\n",
    "    - ----\n",
    "    - `S.strip([chars]) -> str`\n",
    "        - 得到一个去掉两边空格的字符串\n",
    "    - `S.rstrip([chars]) -> str`\n",
    "        - 得到一个去掉右边空格的字符串\n",
    "    - `S.lstrip([chars]) -> str`\n",
    "        - 得到一个去掉左边空格的字符串\n",
    "    - ----\n",
    "    - `S.zfill(width) -> str`\n",
    "        - 对数字字符串，指定长度，前边填充0。\n",
    "\n",
    "- 例子代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        欢迎大家        \n",
      "欢迎大家                \n",
      "                欢迎大家\n",
      "欢迎大家\n",
      "        欢迎大家\n",
      "欢迎大家        \n",
      "0000000000000000欢迎大家\n"
     ]
    }
   ],
   "source": [
    "s = '欢迎大家'\n",
    "\n",
    "print(s.center(20))\n",
    "print(s.ljust(20))\n",
    "print(s.rjust(20))\n",
    "\n",
    "t = s.center(20)\n",
    "print(t.strip())\n",
    "print(t.rstrip())\n",
    "print(t.lstrip())\n",
    "\n",
    "print(s.zfill(20))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串开始与结束判定\n",
    "\n",
    "- 这种操作用的最多的应用场景是：文件名操作。\n",
    "    - `S.startswith(prefix[, start[, end]]) -> bool`\n",
    "        - 判定字符串是否以prefix开始。\n",
    "    - `S.endswith(suffix[, start[, end]]) -> bool`\n",
    "        - 判定字符串是否以suffix结束。\n",
    "\n",
    "\n",
    "- 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "s = 'example.py'\n",
    "\n",
    "print(s.startswith('example'))\n",
    "print(s.endswith('.py'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串分隔与合并\n",
    "\n",
    "- 字符串使用比较多的是字符串合并与分隔：\n",
    "    - `S.join(iterable) -> str`\n",
    "        - 合并iterable中的字符串，使用S作为分隔符号。\n",
    "    - ----\n",
    "    - `S.split(sep=None, maxsplit=-1) -> list of strings`\n",
    "        - 使用sep作为分隔符，对字符串进行分隔，返回分隔以后的字符串。\n",
    "        - 可以使用maxsplit指定最大分隔次数。\n",
    "        - 如果没有指定sep参数，默认是空格；maxsplit的默认是-1，表示全部分隔。\n",
    "    - `S.rsplit(sep=None, maxsplit=-1) -> list of strings`\n",
    "        - 同上：分隔从结束位置开始。是split的逆序版本。\n",
    "    - `S.splitlines([keepends]) -> list of strings`\n",
    "        - 使用换行符或者回车作为分隔符，参数keepends=True可以保留分隔符。\n",
    "        - 一般的换行是`\\n`,`\\r`。不同操作系统可能不同。有的使用`\\r`,`\\n`,`\\r\\n`。\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 合并的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "food！， sky！， sea！\n"
     ]
    }
   ],
   "source": [
    "s = '， '\n",
    "t = ['food！', 'sky！', 'sea！']\n",
    "\n",
    "result = s.join(t)\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 拆分的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['this', 'is', 's', 'a', 'good', 'day,', 'I', 'want', 'to', 'travel']\n",
      "['this is s a good day', ' I want to travel']\n",
      "['this', 'is', 's', 'a', 'good', 'day,', 'I', 'want', 'to', 'travel']\n",
      "['this is s a good day', ' I want to travel']\n",
      "['', 'This is a good day!', 'I want to travel!']\n",
      "['\\n', 'This is a good day!\\n', 'I want to travel!\\n']\n",
      "['This is a good day!', 'I want to travel!', 'Go ', 'on!']\n",
      "['This is a good day!\\r', 'I want to travel!\\n', 'Go \\r\\n', 'on!']\n"
     ]
    }
   ],
   "source": [
    "s = 'this is s a good day, I want to travel'\n",
    "\n",
    "print(s.split())\n",
    "print(s.split(','))\n",
    "\n",
    "print(s.rsplit())\n",
    "print(s.rsplit(','))\n",
    "\n",
    "t = '''\n",
    "This is a good day!\n",
    "I want to travel!\n",
    "'''\n",
    "\n",
    "print(t.splitlines(keepends=False))\n",
    "print(t.splitlines(keepends=True))\n",
    "\n",
    "\n",
    "u = '''This is a good day!\\rI want to travel!\\nGo \\r\\non!'''\n",
    "print(u.splitlines(keepends=False))\n",
    "print(u.splitlines(keepends=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 字符串的格式化\n",
    "\n",
    "- 字符串的格式化比较复杂，选择常用的相对比较简单，同时在Python3增加了F前缀内置格式字符串，这个语法提供更加方便的格式化操作\n",
    "\n",
    "- 字符串格式提供三种方式：\n",
    "    - 内置格式化\n",
    "    - %运算符格式化\n",
    "    - format格式化函数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串格式化方式1：%运算符格式化\n",
    "\n",
    "1. 语法：\n",
    "    > '  % 格式规范'  % (被格式化数据，......)\n",
    "    \n",
    "    \n",
    "2. 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "格式化数据：+0000020\n"
     ]
    }
   ],
   "source": [
    "a = 20\n",
    "print('格式化数据：%+08d' % (a))"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. %格式化的格式支持比较少，已经被下面的格式化替换。\n",
    "    - %支持的格式是传统的格式。在Linux系统可以通过查看print的帮助得到。这个格式已经与Python的格式不兼容了。\n",
    "    ![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. %的格式与下面的格式已经不兼容\n",
    "    - % 的精度指的是小数以后的位数，新的精度指的是有效位数。下面是例子。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   78.89\n",
      "***78.89\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "* wants int",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-32-f3f0813e9e63>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mF'{78.8888883:*>8.2f}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'%*>8.2f'\u001b[0m\u001b[0;34m%\u001b[0m\u001b[0;36m78.8888883\u001b[0m\u001b[0;34m)\u001b[0m      \u001b[0;31m# 错误\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: * wants int"
     ]
    }
   ],
   "source": [
    "print('%8.2f'%78.8888883)    # \n",
    "\n",
    "# 新的格式规范效果\n",
    "print(F'{78.8888883:*>8.2f}')  \n",
    "\n",
    "print('%*>8.2f'%78.8888883)      # 错误"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串格式化方式2：内置格式化\n",
    "\n",
    "1. 语法：\n",
    "    > F\"... { 被格式化数据！数据转换方式：格式规范 } ... \"       \n",
    "    > **数据转换方式：**s（调用str转换）,r（调用repr转换）,a（调用ascii转换）      \n",
    "    >**格式规范**：字符串格式规范，日期格式规范      \n",
    "    >具体的字符串格式规范见下面。     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "整数格式化： 0X14\n",
      "小数格式化：    88.89\n",
      "小数格式化：      8.9e+01\n",
      "字符串格式化： '\\u9a6c\\u54e5\\u6559\\u80b2'\n"
     ]
    }
   ],
   "source": [
    "a = 20\n",
    "print(F'整数格式化： 0X{a:-0X}')     # 格式要与数据类型匹配\n",
    "\n",
    "b = 88.88888888\n",
    "print(F'小数格式化： {b:8.2f}')\n",
    "precise = 2\n",
    "print(F'小数格式化： {b:-{12}.{precise}}')   # 嵌套\n",
    "\n",
    "c = '马哥教育'\n",
    "print(F'字符串格式化： {c!a}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字符串格式化方式3：format格式化函数\n",
    "\n",
    "1. 函数定义：\n",
    "    - |- `S.format(*args, **kwargs) -> str`\n",
    "    - |- `S.format_map(mapping) -> str`\n",
    "\n",
    "2. 格式\n",
    "    - `\"...{：格式规范}...{：格式规范}\".format(被格式化数据，......)`       ：按照默认顺序作为位置。\n",
    "    - `\"...{位置：格式规范}...{位置：格式规范}\".format(被格式化数据，......)`    ： 使用指定位置的参数格式化。\n",
    "    - `\"...{名字：格式规范}...{位置：格式规范}\".format(名字=被格式化数据，......)`    ： 使用指定位置的参数格式化。\n",
    "    \n",
    "    - `\"...{名字.成员或者运算符：格式规范}...{位置：格式规范}\".format(名字=被格式化数据，......)`    ： 使用指定位置的参数格式化。\n",
    "    \n",
    "3.例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "格式化数据：+0000020\n",
      "格式化数据：+0000020\n",
      "格式化数据：+0000020\n",
      "格式化数据：+00088.0\n",
      "格式化数据：+00088.0\n"
     ]
    }
   ],
   "source": [
    "a = 20\n",
    "print('格式化数据：{:+08}'.format(a)) \n",
    "print('格式化数据：{1:+08}'.format(88, a))     # 位置从0开始\n",
    "print('格式化数据：{p2:+08}'.format(p1=88, p2=a))     # keyword参数\n",
    "print('格式化数据：{p1.real:+08}'.format(p1=88+3j, p2=a))     # keyword成员\n",
    "print('格式化数据：{0.real:+08}'.format(88+3j, p2=a))     # 位置的成员"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 格式化规范语言\n",
    "\n",
    "- 在官方文档中为：\n",
    "    - Format Specification Mini-Language\n",
    "\n",
    "- 格式化规范语言的官方帮助为\n",
    "\n",
    "```python\n",
    "\n",
    "format_spec     ::=  [[fill]align][sign][#][0][width][grouping_option][.precision][type]\n",
    "fill            ::=  <any character>\n",
    "align           ::=  \"<\" | \">\" | \"=\" | \"^\"\n",
    "sign            ::=  \"+\" | \"-\" | \" \"\n",
    "width           ::=  digit+\n",
    "grouping_option ::=  \"_\" | \",\"\n",
    "precision       ::=  digit+\n",
    "type            ::=  \"b\" | \"c\" | \"d\" | \"e\" | \"E\" | \"f\" | \"F\" | \"g\" | \"G\" | \"n\" | \"o\" | \"s\" | \"x\" | \"X\" | \"%\"\n",
    "\n",
    "```\n",
    "\n",
    "- 说明\n",
    "    - fill：当输出内容的长度小于输出长度的时候，该格式可以指定填充的字符。\n",
    "        - 数据：任意字符。默认是空\n",
    "    - align：当输出内容的长度小于输出长度的时候，该格式可以指定对齐方式。\n",
    "        - 数据： \"<\" （右对齐） \">\" （左对齐） \"=\" （在符号与数字之间补填充字符，默认是0） \"^\"（居中）\n",
    "        - 如果没有align，就不能指定fill。\n",
    "        \n",
    "    - sign：指定输出符号，符号只对数值有效。\n",
    "        - 数据：+ （整数显示正号）-（负数显示符号：缺省的） 空格（整数显示空格，负数显示减号）\n",
    "        \n",
    "    - \\# ：表示可选输出格式，只对整数，小数，复数有效。\n",
    "        - 数据：比如整数使用二进制，会自动输出0b或者0B\n",
    "        \n",
    "    - 0：表示自动填充0，类似第一个填充符号\n",
    "    \n",
    "    - width：输出宽度\n",
    "        - 数据：整数\n",
    "    - grouping_option：分组选项\n",
    "        -  数据：在python3.6以后还增加了逗号（分组显示），下划线表示分组。\n",
    "        \n",
    "    - .precision：输出精度，就是小数的位数\n",
    "        - 数据：整数\n",
    "    \n",
    "    - type：指定输出的数据类型，一定要匹配。\n",
    "        - 字符串：s\n",
    "        - 整数：见附录\n",
    "        - 小数：见附录"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**附录一**：整数类型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Type\t|Meaning\n",
    "-|-\n",
    "'b'\t|Binary format. Outputs the number in base 2.\n",
    "'c'\t|Character. Converts the integer to the corresponding unicode character before printing.\n",
    "'d'\t|Decimal Integer. Outputs the number in base 10.\n",
    "'o'\t|Octal format. Outputs the number in base 8.\n",
    "'x'\t|Hex format. Outputs the number in base 16, using lower- case letters for the digits above 9.\n",
    "'X'\t|Hex format. Outputs the number in base 16, using upper- case letters for the digits above 9.\n",
    "'n'\t|Number. This is the same as 'd', except that it uses the current locale setting to insert the appropriate number separator characters.\n",
    "None\t|The same as 'd'."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**附录二**：小数类型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Type\t|Meaning\n",
    "-|-\n",
    "'e'\t|Exponent notation. Prints the number in scientific notation using the letter ‘e’ to indicate the exponent. The default precision is 6.\n",
    "'E'\t|Exponent notation. Same as 'e' except it uses an upper case ‘E’ as the separator character.\n",
    "'f'\t|Fixed-point notation. Displays the number as a fixed-point number. The default precision is 6.\n",
    "'F'\t|Fixed-point notation. Same as 'f', but converts nan to NAN and inf to INF.\n",
    "'g'\t| <p>General format. For a given precision p >= 1, this rounds the number to p significant digits and then formats the result in either fixed-point format or in scientific notation, depending on its magnitude.</p><p>The precise rules are as follows: suppose that the result formatted with presentation type 'e' and precision p-1 would have exponent exp. Then if -4 <= exp < p, the number is formatted with presentation type 'f' and precision p-1-exp. Otherwise, the number is formatted with presentation type 'e' and precision p-1. In both cases insignificant trailing zeros are removed from the significand, and the decimal point is also removed if there are no remaining digits following it.</p><p>Positive and negative infinity, positive and negative zero, and nans, are formatted as inf, -inf, 0, -0 and nan respectively, regardless of the precision.</p><p>A precision of 0 is treated as equivalent to a precision of 1. The default precision is 6.</p>\n",
    "'G'\t|General format. Same as 'g' except switches to 'E' if the number gets too large. The representations of infinity and NaN are uppercased, too.\n",
    "'n'\t|Number. This is the same as 'g', except that it uses the current locale setting to insert the appropriate number separator characters.\n",
    "'%'\t|Percentage. Multiplies the number by 100 and displays in fixed ('f') format, followed by a percent sign.\n",
    "None\t|Similar to 'g', except that fixed-point notation, when used, has at least one digit past the decimal point. The default precision is as high as needed to represent the particular value. The overall effect is to match the output of str() as altered by the other format modifiers."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. fill与align格式例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*********45.78450000\n",
      "*********45.78450000\n",
      "*********45.78450000\n",
      "*********45.78450000\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "Invalid format specifier",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-35-988d1562164b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;31m# 下面是错的：因为指定填充符号，必须要指定对齐方式\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mF\"{a:*20.8f}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m: Invalid format specifier"
     ]
    }
   ],
   "source": [
    "a = 45.7845\n",
    "\n",
    "print(F\"{a:*>20.8f}\")\n",
    "\n",
    "print(\"{a:*>20.8f}\".format(a=a))\n",
    "print(\"{:*>20.8f}\".format(a))\n",
    "print(\"{0:*>20.8f}\".format(a))\n",
    "\n",
    "# 下面是错的：因为指定填充符号，必须要指定对齐方式\n",
    "print(F\"{a:*20.8f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. sign格式的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**************+45.78\n"
     ]
    }
   ],
   "source": [
    "a = 45.7845\n",
    "\n",
    "print(F\"{a:*>+20.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. \\# 格式的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*************+101101\n",
      "***********+0b101101\n"
     ]
    }
   ],
   "source": [
    "a = 45\n",
    "print(F\"{a:*>+20b}\")\n",
    "print(F\"{a:*>+#20b}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. 0格式的使用例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+0000000000004572334\n"
     ]
    }
   ],
   "source": [
    "a = 4572334\n",
    "\n",
    "print(F\"{a:+020d}\")    # 使用填充符号达到一样的效果。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5. grouping_option：逗号与_格式的使用例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+4,572,334\n",
      "45_C4AE\n",
      "4572334\n"
     ]
    }
   ],
   "source": [
    "a = 4572334\n",
    "\n",
    "print(F\"{a:+10,d}\")    # 不能使用x类型，三个一分组\n",
    "print(F\"{a:_X}\")       # 对十进制三个分组，对x是4个一分组。\n",
    "\n",
    "print(F\"{a:#}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 日期格式化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Directive\t|Meaning\t|Example\t\n",
    "-|-|-\n",
    "%a\t|Weekday as locale’s abbreviated name.\t|Sun, Mon, …, Sat (en_US);<br>So, Mo, …, Sa (de_DE)\n",
    "%A\t|Weekday as locale’s full name.\t|Sunday, Monday, …, Saturday (en_US);<br>Sonntag, Montag, …, Samstag (de_DE)\n",
    "%w\t|Weekday as a decimal number, where 0 is Sunday and 6 is Saturday.\t|0, 1, …, 6\t \n",
    "%d\t|Day of the month as a zero-padded decimal number.\t|01, 02, …, 31\t \n",
    "%b\t|Month as locale’s abbreviated name.\t|Jan, Feb, …, Dec (en_US);<br>Jan, Feb, …, Dez (de_DE)\n",
    "%B\t|Month as locale’s full name.\t|January, February, …, December (en_US);<br>Januar, Februar, …, Dezember (de_DE)\n",
    "%m\t|Month as a zero-padded decimal number.\t|01, 02, …, 12\t \n",
    "%y\t|Year without century as a zero-padded decimal number.\t|00, 01, …, 99\t \n",
    "%Y\t|Year with century as a decimal number.\t0001, 0002, …, |2013, 2014, …, 9998, 9999\t\n",
    "%H\t|Hour (24-hour clock) as a zero-padded decimal number.\t|00, 01, …, 23\t \n",
    "%I\t|Hour (12-hour clock) as a zero-padded decimal number.\t|01, 02, …, 12\t \n",
    "%p\t|Locale’s equivalent of either |AM or PM.\t<br>AM, PM (en_US);<br>am, pm (de_DE)\n",
    "%M\t|Minute as a zero-padded decimal number.\t|00, 01, …, 59\t \n",
    "%S\t|Second as a zero-padded decimal number.\t|00, 01, …, 59\t\n",
    "%f\t|Microsecond as a decimal number, zero-padded on the left.\t|000000, 000001, …, 999999\t\n",
    "%z\t|UTC offset in the form +HHMM or -HHMM (empty string if the object is naive).\t|(empty), +0000, -0400, +1030\t\n",
    "%Z\t|Time zone name (empty string if the object is naive).\t|(empty), UTC, EST, CST\t \n",
    "%j\t|Day of the year as a zero-padded decimal number.\t|001, 002, …, 366\t \n",
    "%U\t|Week number of the year (Sunday as the first day of the week) as a zero padded decimal number. All days in a new year preceding the first Sunday are considered to be in week 0.\t|00, 01, …, 53\t(7)\n",
    "%W\t|Week number of the year (Monday as the first day of the week) as a decimal number. All days in a new year preceding the first Monday are considered to be in week 0.\t|00, 01, …, 53\t\n",
    "%c\t|Locale’s appropriate date and time representation.\t|Tue Aug 16 21:30:00 1988 (en_US);<br>Di 16 Aug 21:30:00 1988 (de_DE)\n",
    "%x\t|Locale’s appropriate date representation.\t|08/16/88 (None);<br>08/16/1988 (en_US);<br>16.08.1988 (de_DE)\n",
    "%X\t|Locale’s appropriate time representation.\t|21:30:00 (en_US);<br>21:30:00 (de_DE)\n",
    "%%\t|A literal '%' character.\t|%\t "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 日期在字符串格式化使用例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019-03-21 16:28:44.752040\n",
      " 2019年03月21日\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "\n",
    "dt = datetime.datetime.now()\n",
    "print(dt)\n",
    "\n",
    "print(F'{dt: %Y年%m月%d日}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 列表\n",
    "\n",
    "- 列表与元组类型差不多，但元组是immutable（稳定的：不可修改，所有操作都是在克隆上操作返回），但list的mutable（不稳定的，可以直接在list对象上操作），所有在运算符与操作都存在一定差别。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 构建列表对象\n",
    "\n",
    "1. 构造器定义\n",
    "\n",
    "```python\n",
    "    class list(object)\n",
    "         |  list() -> new empty list\n",
    "         |  list(iterable) -> new list initialized from iterable's items\n",
    "\n",
    "```\n",
    "\n",
    "- 构造器也tuple也差不不多，一般我们还是使用内置的\\[ ...\\] 来构造list对象。为了方便，也可以使用构造器把其他可迭代对象转换为list类型，提供给用户更加方便的数据访问与操作。\n",
    "\n",
    "2. 构造器使用的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "import os\n",
      "\n",
      "\n",
      "def list_dir(d, depth):\n",
      "    fd = os.path.basename(d)\n",
      "    print('  ' * depth, fd, sep='|-')\n",
      "    v = []\n",
      "    if os.path.isdir(d):\n",
      "        files = os.listdir(d)\n",
      "        for file in files:\n",
      "            file_path = os.path.join(d, file)\n",
      "            r = list_dir(file_path, depth + 1)\n",
      "            v.append(r)\n",
      "    return {d: v}\n",
      "\n",
      "\n",
      "re = list_dir('.', 1)\n",
      "print(re)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "fd = open('recurit.py', 'r')\n",
    "lst_fd = list(fd)                  # <---把可迭代的fd对象转换为list对象\n",
    "fd.close()\n",
    "\n",
    "for line in lst_fd:\n",
    "    print(line, end='')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 列表运算符\n",
    "\n",
    "- 在tuple中介绍过的运算符在list同样可以使用，下面是tuple中没有的运算符介绍。\n",
    "\n",
    "#### 下标运算\\_\\_setitem\\_\\_与\\_\\_delitem\\_\\_\n",
    "```\n",
    "     |  __setitem__(self, key, value, /)\n",
    "     |      Set self[key] to value.\n",
    "     |  __delitem__(self, key, /)\n",
    "     |      Delete self[key].\n",
    "     \n",
    "     \n",
    "     |  __sizeof__(...)\n",
    "     |      L.__sizeof__() -- size of L in memory, in bytes\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - 可以通过\\[...\\]实现对list中数据的修改。\n",
    "    \n",
    "- 例子代码： "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 88, 4, 5]\n",
      "[1, 2, 4, 5]\n"
     ]
    }
   ],
   "source": [
    "lst = [1, 2, 3, 4, 5]\n",
    "lst[2] = 88            # 对元组而言，没有这个运算符号。\n",
    "\n",
    "print(lst)     # 修改\\_\\_setitem\\_\\_\n",
    "del lst[2]    # 删除\\_\\_delitem\\_\\_\n",
    "print(lst)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### \\_\\_sizeof\\_\\_运算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "80\n",
      "80\n",
      "(1, 2, 3, 4, 5)\n",
      "64\n"
     ]
    }
   ],
   "source": [
    "lst = [1, 2, 3, 4, 5]\n",
    "print(lst.__sizeof__())\n",
    "del lst[2]   \n",
    "print(lst.__sizeof__())     # 占用内存\n",
    "\n",
    "ds = tuple((1, 2, 3, 4, 5))\n",
    "print(ds)\n",
    "print(ds.__sizeof__())   # tuple也有__sizeof__运算，但该运算来自object，调用获取的信息是来自object。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### \\+\\=与\\*\\=运算符号\n",
    "\n",
    "- 因为list可变，所以+=这样的复合运算的含义与tuple有差别。\n",
    "\n",
    "1. 定义：\n",
    "\n",
    "```python\n",
    "     |  __iadd__(self, value, /)\n",
    "     |      Implement self+=value.\n",
    "     |  \n",
    "     |  __imul__(self, value, /)\n",
    "     |      Implement self*=value.\n",
    "\n",
    "```\n",
    "\n",
    "2. 使用例子："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 5, 6, 7, 8]\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 1, 2, 3, 4, 5, 6, 7, 8]\n",
      "(1, 2, 3, 4, 5, 6, 7, 8)\n",
      "(1, 2, 3, 4, 5, 6, 7, 8, 1, 2, 3, 4, 5, 6, 7, 8)\n"
     ]
    }
   ],
   "source": [
    "lst = [1, 2, 3, 4, 5]\n",
    "tup= (1, 2, 3, 4, 5)\n",
    "\n",
    "lst += [6, 7, 8]\n",
    "print(lst)\n",
    "\n",
    "lst *= 2\n",
    "print(lst)\n",
    "\n",
    "# 注意：对元组的+=运算，明显有差别，tuple中的+= 来自object，是对象克隆，list的是在本身的操作\n",
    "tup += (6, 7, 8)\n",
    "print(tup)\n",
    "\n",
    "tup *= 2\n",
    "print(tup)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 列表数据操作\n",
    "\n",
    "- tuple中的操作在list中都支持，下面列出list独有的操作函数。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 添加操作\n",
    "\n",
    "1. 末尾添加数据\n",
    "\n",
    "```python\n",
    "    L.append(object) -> None -- append object to end\n",
    "```\n",
    "\n",
    "2. 指定位置插入数据\n",
    "\n",
    "```python\n",
    "    L.insert(index, object) -- insert object before index\n",
    "```\n",
    "3.  扩展数据\n",
    "\n",
    "```python\n",
    "    L.extend(iterable) -> None -- extend list by appending elements from the iterable\n",
    "```\n",
    "\n",
    "4. 数据添加例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 5, 6]\n",
      "[1, 2, 3, 4, 5, 6, [7, 8]]\n",
      "[1, 2, 888, 3, 4, 5, 6, [7, 8]]\n",
      "[1, 2, 888, 3, 4, 5, 6, [7, 8], 55, 66]\n"
     ]
    }
   ],
   "source": [
    "lst = [1, 2, 3, 4, 5]\n",
    "\n",
    "lst.append(6)\n",
    "print(lst)\n",
    "\n",
    "# 追加元素，对列表也是当成一个元素\n",
    "lst.append([7, 8])\n",
    "print(lst)\n",
    "\n",
    "\n",
    "# 在指定位置添加\n",
    "lst.insert(2,888)\n",
    "print(lst)\n",
    "\n",
    "# 扩展，等价于 +=\n",
    "lst.extend([55,66])\n",
    "print(lst)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 删除操作\n",
    "\n",
    "1. 全部清空\n",
    "\n",
    "```python\n",
    "\n",
    "    L.clear() -> None -- remove all items from L\n",
    "```\n",
    "\n",
    "2. 删除指定位置的元素，\n",
    "    - 不指定位置，默认是最后一个。\n",
    "    - list为空，会抛出异常。\n",
    "    - 删除的值会被返回\n",
    "\n",
    "```python\n",
    "\n",
    "    L.pop([index]) -> item -- remove and return item at index (default last).\n",
    "        Raises IndexError if list is empty or index is out of range.\n",
    "\n",
    "```\n",
    "\n",
    "3. 按照值删除\n",
    "    - 只删除第一个，不会反复迭代删除。\n",
    "\n",
    "```python\n",
    "\n",
    "    L.remove(value) -> None -- remove first occurrence of value.\n",
    "        Raises ValueError if the value is not present.\n",
    "\n",
    "```\n",
    "\n",
    "4. 删除的例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5 , [1, 2, 3, 4]\n",
      "2 , [1, 3, 4]\n",
      "[1, 4]\n",
      "[]\n"
     ]
    }
   ],
   "source": [
    "lst = [1, 2, 3, 4, 5]\n",
    "\n",
    "item = lst.pop()\n",
    "print(item, \",\", lst)\n",
    "item = lst.pop(1)\n",
    "print(item, \",\", lst)\n",
    "\n",
    "lst.remove(3)\n",
    "print(lst)\n",
    "\n",
    "lst.clear()\n",
    "print(lst)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 排序与逆序操作\n",
    "\n",
    "1. 排序\n",
    "    - 对列表排序\n",
    "\n",
    "```python\n",
    "\n",
    "    L.sort(key=None, reverse=False) -> None -- stable sort *IN PLACE*\n",
    "        key 使用一个函数，用来定制排序规则, 这个多整数，小数元素意义不大，但元素是元组、对象等就有意义了。\n",
    "        使用key的时候，必须使用keyword参数。\n",
    "```\n",
    "\n",
    "2. 逆序\n",
    "    - 得到相反顺序的列表\n",
    "\n",
    "```python\n",
    "\n",
    "    L.reverse() -- reverse *IN PLACE*\n",
    "\n",
    "```\n",
    "\n",
    "3. 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[6, 4, 3, 5, 8]\n",
      "[3, 4, 5, 6, 8]\n"
     ]
    }
   ],
   "source": [
    "lst = [8, 5, 3, 4, 6]\n",
    "\n",
    "lst.reverse()   # 逆序\n",
    "print(lst)\n",
    "\n",
    "lst.sort()\n",
    "print(lst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Rose', 8)\n",
      "('Jack', 2)\n",
      "('Tom', 5)\n",
      "('Bob', 3)\n",
      "('Obama', 6)\n",
      "[('Jack', 2), ('Bob', 3), ('Tom', 5), ('Obama', 6), ('Rose', 8)]\n"
     ]
    }
   ],
   "source": [
    "def sort_key(value):\n",
    "    print(value)\n",
    "    return value[1]\n",
    "\n",
    "lst = [('Rose', 8), ('Jack', 2), ('Tom', 5), ('Bob', 3), ('Obama', 6)]\n",
    "\n",
    "lst.sort(key = sort_key)\n",
    "print(lst)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### copy操作\n",
    "- 因为list是mutable的，为了防止数据变动，经常会采用copy拷贝后，再操作数据。\n",
    "\n",
    "1. copy的定义：\n",
    "\n",
    "```python\n",
    "\n",
    "    L.copy() -> list -- a shallow copy of L\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - copy与=有很大差异，尽管在某些场合效果一样。尤其在和面讲到copy可以实现深度拷贝。=运算符号是做不到深度拷贝的。\n",
    "\n",
    "2. 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Rose', 8)\n",
      "('Jack', 2)\n",
      "('Tom', 5)\n",
      "('Bob', 3)\n",
      "('Obama', 6)\n",
      "[('Rose', 8), ('Jack', 2), ('Tom', 5), ('Bob', 3), ('Obama', 6)]\n",
      "[('Jack', 2), ('Bob', 3), ('Tom', 5), ('Obama', 6), ('Rose', 8)]\n"
     ]
    }
   ],
   "source": [
    "def sort_key(value):\n",
    "    print(value)\n",
    "    return value[1]\n",
    "\n",
    "lst = [('Rose', 8), ('Jack', 2), ('Tom', 5), ('Bob', 3), ('Obama', 6)]\n",
    "\n",
    "lst_copy = lst.copy()\n",
    "lst_copy.sort(key = sort_key)\n",
    "print(lst)\n",
    "print(lst_copy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 字典\n",
    "\n",
    "- 字典也属于mutable对象，尽管与list结构不同，但list的很对运算与操作，字典也有。因为数据格式不同，所以也存在差异。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 构建字典对象"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 字典类型的构造器定义：\n",
    "\n",
    "```python\n",
    " |  dict() -> new empty dictionary\n",
    "    构建空的字典，等价于{}。\n",
    " |  dict(mapping) -> new dictionary initialized from a mapping object's\n",
    " |      (key, value) pairs\n",
    "    使用mapping类型\n",
    " |  dict(iterable) -> new dictionary initialized as if via:\n",
    " |      d = {}\n",
    " |      for k, v in iterable:\n",
    " |          d[k] = v\n",
    "    使用元组格式的key-value对构建字典。\n",
    " |  dict(**kwargs) -> new dictionary initialized with the name=value pairs\n",
    " |      in the keyword argument list.  For example:  dict(one=1, two=2)\n",
    "\n",
    "```\n",
    "\n",
    "2. 构建字典的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{}\n",
      "{'name': 'Louis', 'age': 20}\n",
      "{'name': 'Louis', 'age': 20}\n",
      "{'name': 'Louis', 'age': 20}\n",
      "{'name': 'Louis', 'age': 20}\n"
     ]
    }
   ],
   "source": [
    "dt = {'name': 'Louis', 'age':20}\n",
    "\n",
    "dt1 = dict()\n",
    "dt2 = dict(dt)    # dt就是一个mapping类型，\n",
    "dt3 = dict([('name','Louis'), ('age', 20)])    # 函数的返回值也行\n",
    "dt4 = dict(name='Louis', age=20)\n",
    "\n",
    "print(dt1)\n",
    "print(dt2)\n",
    "print(dt3)\n",
    "print(dt4)\n",
    "\n",
    "dt5 = dict(dt.items())\n",
    "print(dt5)     # dt5与dt2是有区别的\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 字典运算符\n",
    "\n",
    "- 字典的运算与list完全一样，但因为数据格式的变化，所以有的运算的使用也存在变化。\n",
    "\n",
    "- 字典本身不支持+= 与 *=，不支持+ 与 *运算（因为怕可以重复。list不存在这个问题）\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "dt = {'name': 'Louis', 'age':20}  \n",
    "# print(dt+dt)   # 支持"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字典的\\_\\_setitem\\_\\_,\\_\\_getitem\\_\\_,delitem\\_\\_运算\n",
    "\n",
    "- 字典的下标不支持切片\n",
    "- 下标中不支持索引，只能使用key。\n",
    "- \\_\\_setitem\\_\\_有两重功能：修改（存在key）与添加（不存在key）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Louis\n",
      "{'name': 'Jack', 'age': 20}\n",
      "{'name': 'Jack', 'age': 20, 'favor': 'Swim'}\n",
      "{'name': 'Jack', 'age': 20}\n"
     ]
    }
   ],
   "source": [
    "dt = {'name': 'Louis', 'age':20}\n",
    "\n",
    "print(dt['name'])    # 访问\n",
    "# print(dt[0])    # 不支持\n",
    "dt['name'] = 'Jack'       # 修改\n",
    "print(dt)\n",
    "dt['favor'] = 'Swim'    # 添加\n",
    "print(dt)\n",
    "\n",
    "del dt['favor']    # 删除\n",
    "print(dt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字典的迭代器对象\n",
    "\n",
    "- 因为字典的数据格式，需要明白字典的迭代器怎么工作的。\n",
    "    - 迭代器类型\n",
    "    - 迭代器返回的数据类型与格式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'dict_keyiterator'>\n",
      "<class 'str'> name\n"
     ]
    }
   ],
   "source": [
    "dt = {'name': 'Louis', 'age':20}\n",
    "iterator = iter(dt)   # 返回字典迭代\n",
    "print(type(iterator))\n",
    "\n",
    "re = next(iterator)\n",
    "print(type(re), re)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 说明：\n",
    "    - 字典迭代器只对key迭代。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字典的in运算\n",
    "\n",
    "- 字典的in对key判定"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "dt = {'name': 'Louis', 'age':20}\n",
    "print('name' in dt)    # True\n",
    "print('Louis' in dt)    # False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 字典数据操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 数据访问\n",
    "\n",
    "1. key访问\n",
    "\n",
    "```python\n",
    "    D.keys() -> a set-like object providing a view on D's keys\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. values访问\n",
    "\n",
    "```python\n",
    "    D.values() -> an object providing a view on D's values\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. items访问\n",
    "\n",
    "```python\n",
    "    D.items() -> a set-like object providing a view on D's items\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. get取值访问\n",
    "\n",
    "```python\n",
    "    D.get(k[,d]) -> D[k] if k in D, else d.  d defaults to None.\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5. 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['name', 'age']) <class 'dict_keys'>\n",
      "dict_values(['Louis', 20]) <class 'dict_values'>\n",
      "dict_items([('name', 'Louis'), ('age', 20)]) <class 'dict_items'>\n",
      "Louis\n",
      "为空时的缺省值\n"
     ]
    }
   ],
   "source": [
    "dt = {'name': 'Louis', 'age':20}\n",
    "print(dt.keys(), type(dt.keys()))\n",
    "print(dt.values() ,type(dt.values()))\n",
    "print(dt.items(),type(dt.items()))\n",
    "\n",
    "print(dt.get('name', '为空时的缺省值'))\n",
    "print(dt.get('name2', '为空时的缺省值'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 说明\n",
    "    - 返回的数据都是类似集合的对象。在collections.abc中对容器定义了很多规范。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字典的删除数据操作\n",
    "\n",
    "1. 操作函数定义\n",
    "\n",
    "```python\n",
    "\n",
    "    |- D.clear() -> None.  Remove all items from D.\n",
    "    |     |- 全部删除\n",
    "    |- D.pop(k[,d]) -> v, remove specified key and return the corresponding value.If key is not found, d is returned if given, otherwise KeyError is raised\n",
    "    |     |- 按照key删除，并返回删除的数据，当key不存在，可以指定返回的替代值；key不存在，且不指定替代值，则会抛出KeyError异常。\n",
    "    |- D.popitem() -> (k, v), remove and return some (key, value) pair as a 2-tuple; but raise KeyError if D is empty.\n",
    "    |     |- 删除末尾上（栈顶）的数据，并返回key-values值对。\n",
    "    \n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Louis {'age': 20}\n",
      "('age', 20) {}\n"
     ]
    }
   ],
   "source": [
    "dt = {'name': 'Louis', 'age':20}\n",
    "v = dt.pop('name')\n",
    "print(v, dt)\n",
    "\n",
    "v = dt.popitem()\n",
    "print(v, dt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 设置key不存在的替代值\n",
    "\n",
    "- 函数定义\n",
    "    - `D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字典的update操作\n",
    "\n",
    "- 函数定义：\n",
    "\n",
    "```python\n",
    "\n",
    "    |  update(...)\n",
    "    |        D.update([E, ]**F) -> None.  Update D from dict/iterable E and F.\n",
    "    |        If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k]\n",
    "    |        If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v\n",
    "    |        In either case, this is followed by: for k in F:  D[k] = F[k]\n",
    "\n",
    "```\n",
    "\n",
    "- 上面函数的说明中已经告诉我们这函数的三种使用方法，下面使用例子说明："
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 参数具有keys()函数的对象\n",
    "    - 等于两个字典合并；\n",
    "    - 重复的key会被替换修改。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'name': 'Louis', 'age': 20, 'favor': 'swim'}\n"
     ]
    }
   ],
   "source": [
    "dt = {'name': 'Louis', 'age':20}\n",
    "pt = {'favor': 'swim'}\n",
    "\n",
    "dt.update(pt)\n",
    "print(dt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 参数没有keys对象\n",
    "    - 一般使用元组形式的值对。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'name': 'Louis', 'age': 20, 'favor': 'swim'}\n"
     ]
    }
   ],
   "source": [
    "dt = {'name': 'Louis', 'age':20}\n",
    "pt= [ ('favor', 'swim') ]\n",
    "\n",
    "dt.update(pt)\n",
    "print(dt)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. 使用\\*\\*F参数的情况\n",
    "    - 如果第一参数不是值对，就可以使用命名参数的方式更新字典\n",
    "    - 可以与第一个可选参数混用。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'name': 'Louis', 'age': 20, 'favor': 'swim', 'tall': 1.89}\n"
     ]
    }
   ],
   "source": [
    "dt = {'name': 'Louis', 'age':20}\n",
    "pt = [ ('favor','swim') ]\n",
    "\n",
    "\n",
    "dt.update(pt, tall=1.89)\n",
    "print(dt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 字典静态fromkeys操作\n",
    "\n",
    "- 使用可迭代对象构建值统一的字典；函数定义如下;\n",
    "    - `fromkeys(iterable, value=None, /)`\n",
    "\n",
    "- 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'jack': 100.0, 'rose': 100.0, 'tom': 100.0}\n"
     ]
    }
   ],
   "source": [
    "ite = ['jack', 'rose', 'tom']\n",
    "\n",
    "dt = dict.fromkeys(ite ,100.00)\n",
    "print(dt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 集合\n",
    "\n",
    "- 集合分成mutable与immutable。\n",
    "    - set   (mutable)\n",
    "    - frozenset (immutable)\n",
    "    \n",
    "- set使用比较多，下面以set为主讲解。set中的运算与函数只要对set有影响的，在frozenset中都不能使用。\n",
    "\n",
    "\n",
    "- set实际是对应数学意义上的集合的概念，所以后面的运算与操作都可以从高中数学的集合中得到常识经验去理解。\n",
    "\n",
    "\n",
    "- **重点强调:**\n",
    "    - 初学者不太明白set与list的区别，以及set的意义。感觉都是一组数据值，但两个的区别非常大。\n",
    "        - list，tuple是数据序列，数据是有顺序的，所以数据重复也没有问题。但是set本质采用树管理，所以key是**不能重复的**；\n",
    "        - 因为set采用树管理，为了便于数据查询，其key是按序管理，所以set的**数据是有序的**。\n",
    "        \n",
    "        - 有的语言中，也实现无序set，也实现可重复set。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 构建集合对象\n",
    "\n",
    "1. 构造器定义\n",
    "\n",
    "```python\n",
    "class set(object)\n",
    " |  set() -> new empty set object\n",
    " |  set(iterable) -> new set object\n",
    "```\n",
    "\n",
    "- 说明任何可迭代的对象都可以用来构造器集合，字典使用key构建。\n",
    "    - 一般还是使用{}构建。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'set'> {1, 2, 4, 5, 7, 8, 9}\n",
      "{1, 2, 4, 6, 7, 8}\n"
     ]
    }
   ],
   "source": [
    "st = {1,4,5,7,2,9,8,8}\n",
    "print(type(st) ,st)     # 不是frozenset类型\n",
    "\n",
    "st2 = set([1,4,7,2,6,8,8])    # 重复的数据，消失\n",
    "print(st2)     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- set对象也是可迭代对象，也可以使用集合构建集合。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'frozenset'> frozenset({1, 2, 4, 6, 7, 8})\n",
      "<set_iterator object at 0x10ab6a5e8>\n"
     ]
    }
   ],
   "source": [
    "fst = frozenset([1,4,7,2,6,8,8])    # 重复的数据，消失\n",
    "print(type(fst) ,fst)  \n",
    "print(iter(fst))    # set与frozenset集合的迭代器类型一样。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 集合运算符"
   ]
  },
  {
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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 集合的四大标准运算\n",
    "\n",
    "- 集合的四大运算：\n",
    "    - 交集\n",
    "    - 并集\n",
    "    - 差集\n",
    "    - 对称差集\n",
    "    \n",
    "    ![集合4大运算](attachment:u=2771588957,548602995&fm=26&gp=0.jpg)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 交集运算 \n",
    "\n",
    "- 交集运算使用的是&运算符号，先看从定义开始：\n",
    "    - 只能集合对集合进行交集运算：\n",
    "\n",
    "```python\n",
    " |  __and__(self, value, /)\n",
    " |      Return self&value.\n",
    "\n",
    " |  __rand__(self, value, /)\n",
    " |      Return value&self.\n",
    "\n",
    " |  __iand__(self, value, /)\n",
    " |      Return self&=value.\n",
    "\n",
    "```\n",
    "\n",
    "- 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{3, 4, 5}\n",
      "{3, 4, 5}\n"
     ]
    }
   ],
   "source": [
    "st1 = {1,4,5,7,3}\n",
    "st2 = {8,3,2,5,4,9}\n",
    "st = st1 & st2\n",
    "print(st)\n",
    "\n",
    "st1 &= st2\n",
    "print(st1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 并集运算\n",
    "\n",
    "- 运算符定义\n",
    "\n",
    "```python\n",
    " |  __or__(self, value, /)\n",
    " |      Return self|value.\n",
    " |  __ror__(self, value, /)\n",
    " |      Return value|self.\n",
    " |  __ior__(self, value, /)\n",
    " |      Return self|=value.\n",
    "\n",
    "```\n",
    "\n",
    "- 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1, 2, 3, 4, 5, 7, 8, 9}\n",
      "{1, 2, 3, 4, 5, 7, 8, 9}\n"
     ]
    }
   ],
   "source": [
    "st1 = {1,4,5,7,3}\n",
    "st2 = {8,3,2,5,4,9}\n",
    "st = st1 | st2\n",
    "print(st)\n",
    "\n",
    "st1 |= st2\n",
    "print(st1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. 差集运算\n",
    "\n",
    "- 运算符定义\n",
    "\n",
    "```python\n",
    "\n",
    " |  __sub__(self, value, /)\n",
    " |      Return self-value.\n",
    " |  __rsub__(self, value, /)\n",
    " |      Return value-self.\n",
    " |  __isub__(self, value, /)\n",
    " |      Return self-=value.\n",
    "\n",
    "```\n",
    "\n",
    "- 例子代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1, 7}\n",
      "{1, 7}\n"
     ]
    }
   ],
   "source": [
    "st1 = {1,4,5,7,3}\n",
    "st2 = {8,3,2,5,4,9}\n",
    "st = st1 - st2\n",
    "print(st)\n",
    "\n",
    "st1 -= st2\n",
    "print(st1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. 对称差运算\n",
    "\n",
    "\n",
    "- 运算符定义\n",
    "\n",
    "```python\n",
    "\n",
    " |  __xor__(self, value, /)\n",
    " |      Return self^value.\n",
    " |  __rxor__(self, value, /)\n",
    " |      Return value^self.\n",
    " |  __ixor__(self, value, /)\n",
    " |      Return self^=value.\n",
    "```\n",
    "\n",
    "- 例子代码：\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1, 2, 7, 8, 9}\n",
      "{1, 2, 7, 8, 9}\n"
     ]
    }
   ],
   "source": [
    "st1 = {1,4,5,7,3}\n",
    "st2 = {8,3,2,5,4,9}\n",
    "st = st1 ^ st2\n",
    "print(st)\n",
    "\n",
    "st1 ^= st2\n",
    "print(st1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 集合的in运算\n",
    "\n",
    "- in运算判定某个元素是否在集合中。\n",
    "- 集合的in运算符定义：\n",
    "\n",
    "```python\n",
    "\n",
    " |  __contains__(...)\n",
    " |      x.__contains__(y) <==> y in x.\n",
    "\n",
    "```\n",
    "\n",
    "- 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "st1 = {1,4,5,7,3}\n",
    "print( 1 in st1 )\n",
    "print( not 6 in st1 )\n",
    "print( 6 not in st1 )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 集合的比较运算\n",
    "\n",
    "- 等于与不等于的含义都是明确的，明白小于与大于运算即可。比较运算对集合来讲，就是包含运算：\n",
    "\n",
    "\n",
    "集合运算 | 数学符号\n",
    "-|-\n",
    "`<` | $\\subset$\n",
    "`<=` | $\\subseteq$\n",
    "`>` | $\\supset$\n",
    "`>=` | $\\supseteq$\n",
    "\n",
    "\n",
    "\n",
    "- 比较运算定义\n",
    "\n",
    "\n",
    "```python\n",
    "\n",
    " |  __eq__(self, value, /)\n",
    " |      Return self==value.\n",
    " |  __ge__(self, value, /)\n",
    " |      Return self>=value.\n",
    " |  __gt__(self, value, /)\n",
    " |      Return self>value.\n",
    " |  __le__(self, value, /)\n",
    " |      Return self<=value.\n",
    " |  __lt__(self, value, /)\n",
    " |      Return self<value.\n",
    " |  __ne__(self, value, /)\n",
    " |      Return self!=value.\n",
    "\n",
    "```\n",
    "\n",
    "- 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{8, 1, 3}\n",
      "{8, 1}\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "st1 = {8,1,3}\n",
    "st2 = {1,8}\n",
    "print(st1)\n",
    "print(st2)\n",
    "print (st1 <= st2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 集合的其他运算\n",
    "\n",
    "- len运算\n",
    "    - 元素个数\n",
    "- \\_\\_sizeof\\_\\_运算\n",
    "    - 占用内存大小\n",
    "- repr运算\n",
    "    - 对象的解释器可读字符串\n",
    "_ \\_\\_reduce\\_\\_运算\n",
    "    - 序列化信息状态(新式类中，用来返回一个值，用来说明如何序列化（在面向对象的时候详细阐述)\n",
    "    - 该函数要么返回字符串，要么返回一个元组。\n",
    "    \n",
    "    \n",
    "- 例子代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n",
      "712\n",
      "{1, 3, 5, 8, 9}\n",
      "(<class 'set'>, ([1, 3, 5, 8, 9],), None)\n"
     ]
    }
   ],
   "source": [
    "st = {8, 1, 3, 5, 9}\n",
    "\n",
    "print(len(st))\n",
    "print(st.__sizeof__())\n",
    "print(repr(st))\n",
    "print(st.__reduce__())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 集合数据操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 集合元素add添加操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. add函数定义\n",
    "\n",
    "```python\n",
    "\n",
    "|  add(...)\n",
    "|      Add an element to a set.\n",
    "|      \n",
    "|      This has no effect if the element is already present.\n",
    "\n",
    "```\n",
    "\n",
    "- 说明：\n",
    "    - 只有具有hash函数的对象可以添加\n",
    "    \n",
    "    \n",
    "2. 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1, 3, 4, 5, 8, 9}\n",
      "{1, 3, 4, 5, 8, 9, (88, 99)}\n"
     ]
    }
   ],
   "source": [
    "st = {8, 1, 3, 5, 9}\n",
    "st.add(4)\n",
    "print(st)\n",
    "st.add((88,99))    #  不能添加set，list，因为不能hashable。\n",
    "print(st)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 删除集合元素操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. clear\n",
    "    - 全部清空\n",
    "\n",
    "```python\n",
    "\n",
    " |  clear(...)\n",
    " |      Remove all elements from this set.\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. remove与discard，pop函数\n",
    "\n",
    "- discard函数\n",
    "    - 如果是成员就删除，不是就不操作\n",
    "```python\n",
    "\n",
    " |  discard(...)\n",
    " |      Remove an element from a set if it is a member.\n",
    " |      \n",
    " |      If the element is not a member, do nothing.\n",
    "\n",
    "```\n",
    "\n",
    "- remove函数\n",
    "    - 如果是成员就删除，不是就抛出异常KeyError\n",
    "\n",
    "```python\n",
    "\n",
    " |  remove(...)\n",
    " |      Remove an element from a set; it must be a member.\n",
    " |      \n",
    " |      If the element is not a member, raise a KeyError.\n",
    "\n",
    "```\n",
    "\n",
    "- pop函数\n",
    "    - 与remove差不多，只是会返回删除的元素。\n",
    "\n",
    "```python\n",
    " |  pop(...)\n",
    " |      Remove and return an arbitrary set element.\n",
    " |      Raises KeyError if the set is empty.\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 集合的更新update操作\n",
    "\n",
    "- update函数定义：\n",
    "\n",
    "```python\n",
    "\n",
    " |  update(...)\n",
    " |      Update a set with the union of itself and others\n",
    "\n",
    " |  \n",
    " |  difference_update(...)\n",
    " |      Remove all elements of another set from this set.\n",
    "    \n",
    " |  symmetric_difference(...)\n",
    " |      Return the symmetric difference of two sets as a new set.\n",
    " |      \n",
    " |      (i.e. all elements that are in exactly one of the sets.)\n",
    "\n",
    "\n",
    "```\n",
    "\n",
    "- 使用两个集合的并集更新，下面是例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1, 3, 4, 5, 7, 8, 9}\n"
     ]
    }
   ],
   "source": [
    "st = {8, 1, 3, 5, 9}\n",
    "st.update({4,7,9})\n",
    "print(st)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 集合运算符对应的函数操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 并集操作\n",
    "    - 支持多个集合并集运算。\n",
    "    \n",
    "```python\n",
    "\n",
    " |  union(...)\n",
    " |      Return the union of sets as a new set.\n",
    " |      \n",
    " |      (i.e. all elements that are in either set.)\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 交集操作\n",
    "\n",
    "```python\n",
    "\n",
    "|  \n",
    " |  intersection(...)\n",
    " |      Return the intersection of two sets as a new set.\n",
    " |      \n",
    " |      (i.e. all elements that are in both sets.)\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. 差集操作\n",
    "\n",
    "```python\n",
    " |  difference(...)\n",
    " |      Return the difference of two or more sets as a new set.\n",
    " |      \n",
    " |      (i.e. all elements that are in this set but not the others.)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. 对等差操作\n",
    "    - 只能使用一个参数\n",
    "\n",
    "```python\n",
    "\n",
    " |  symmetric_difference(...)\n",
    " |      Return the symmetric difference of two sets as a new set.\n",
    " |      \n",
    " |      (i.e. all elements that are in exactly one of the sets.)\n",
    "\n",
    "\n",
    "```\n",
    "\n",
    "5. 例子代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1, 3, 4, 5, 7, 8}"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "st = {8, 1, 3, 5, 9}\n",
    "st.union({4,7,9}, {88,99})\n",
    "\n",
    "st.intersection({4,7,9}, {1,9})\n",
    "st.difference({4,7,9}, {1,9})\n",
    "\n",
    "st.symmetric_difference({4,7,9})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "6. 集合判定操作\n",
    "\n",
    "\n",
    "- isdisjoint函数\n",
    "    - 集合是否不想交，不交为True，想交为False\n",
    "    \n",
    "```python\n",
    "\n",
    " |  isdisjoint(...)\n",
    " |      Return True if two sets have a null intersection.\n",
    "\n",
    "```\n",
    "    \n",
    "- issubset函数\n",
    "    - 子集判定\n",
    "    \n",
    "```python\n",
    "\n",
    " |  issubset(...)\n",
    " |      Report whether another set contains this set.\n",
    "\n",
    "```\n",
    "\n",
    "- issuperset函数\n",
    "    - 超集判定\n",
    "    \n",
    "```python\n",
    "\n",
    " |  issuperset(...)\n",
    " |      Report whether this set contains another set.\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "st = {8, 1, 3}\n",
    "\n",
    "print(st.isdisjoint({4, 7}))    # 是否不想交\n",
    "\n",
    "print(st.issubset({8, 1, 3, 7})) \n",
    "\n",
    "print(st.issuperset({1, 3})) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 基础算法\n",
    "\n",
    "- 在入门算法前，需要知道写好算法的两个度量标准：\n",
    "\n",
    "    - 正确性\n",
    "    \n",
    "    - 有效性\n",
    "\n",
    "- 正确性在这里很难形成规律性度量，但有效性是可以度量的。\n",
    "    - 程序是由多个语句或者过程组成的，这些语句与过程就是解决问题的算法。\n",
    "    - 解决一个问题的方法有多种，这种方法称为算法。\n",
    "    - 每一种算法都可以达到解决问题的目的，但消耗的内存和时间不尽相同，从节约内存和时间的角度考虑，找出消耗内存最小，时间最少的算法就是最优算法。\n",
    "    - 度量时间的方式就是：时间复杂度度量\n",
    "    - 度量内存的方式就是：空间复杂度度量（这里暂时不考虑）\n",
    "    \n",
    "- 算法的其他考量\n",
    "    - 易实现性\n",
    "    - 易验证性"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 算法的时间复杂度度量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 计算程序执行的次数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 执行次数为1的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100\n"
     ]
    }
   ],
   "source": [
    "def add(a, b):\n",
    "    return a+b\n",
    "\n",
    "print(add(45, 55))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 执行次数为n的例子\n",
    "    - 实际是2*n+2次"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21\n"
     ]
    }
   ],
   "source": [
    "def add(*args):\n",
    "    sum = 0                # 1次\n",
    "    for v in args:         # n + 1 次（创建v变量1次）\n",
    "        sum+= v            #  n次\n",
    "    return sum           # 实际次数2*n+2\n",
    "\n",
    "lst = [1,2,3,4,5,6]\n",
    "print(add(*lst))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. 执行次数是$n^2$的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "495\n"
     ]
    }
   ],
   "source": [
    "def  add(row,col):\n",
    "    sum = 0                        # 1次\n",
    "    for y in range(row):        # n+1次 \n",
    "        sum += y                  # n 次\n",
    "        for x in range(col):    # n(n+1)次\n",
    "            sum += x             # n*n次\n",
    "    return sum                   # 实际次数2*n*n + 3*n + 2\n",
    "\n",
    "print(add(10,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 时间复杂度数学度量\n",
    "\n",
    "- 为了度量时间复杂度（程序执行次数），引入了数学概念：\n",
    "    - 把数据规模记为n，记执行次数为：T(n)\n",
    "    - 当n变化T(n)执行次数随之变化。\n",
    "        - 执行1次，$T(n)=1$\n",
    "        - 执行$2n + 2$次，$T(n)= 2n + 2$\n",
    "        - 执行$2n^2 + 3n + 2$次，$T(n) = 2n^2 + 3n + 2$\n",
    "\n",
    "- 因为精确度量对复杂程序来说没有意义，所以引入了执行次数的参照概念：\n",
    "    - 若有某个函数f(n)，当n趋向于无穷大时，如果T(n)/ f(n)的极限为不等于零的常数，则认为T(n)与f(n)是同量级的函数，记作：T(n) =O(f(n))；\n",
    "    - T (n) = O(f (n)) 表示存在一个常数C，当n趋于正无穷大时，总有T (n) ≤ C * f(n)，其意义是T(n)在n趋于正无穷大时跟f(n)基本接近，因此完全可以用f(n)来表示T(n)。\n",
    "    \n",
    "    - O(f(n))称为算法的渐进时间复杂度，简称时间复杂度。\n",
    "    \n",
    "\n",
    "\n",
    "- 有了参照，我们可以选高次方作为参照项来度量\n",
    "    - 上面执行次数为常量，记为$O(1)$\n",
    "    - 执行次数是$2n + 2$， 记为$O(n)$\n",
    "    - 执行次数是$2n^2 + 3n + 2$，记为$O(n^2)$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 常见时间复杂度度量有：\n",
    "    - （1）$O(1)$：常量阶，运行时间为常量\n",
    "    - （2）$O(logn)$：对数阶，如二分搜索算法\n",
    "    - （3）$O(n)$：线性阶，如n个数内找最大值\n",
    "    - （4）$O(nlogn)$：对数阶，如快速排序算法\n",
    "    - （5）$O(n^2)$：平方阶，如选择排序，冒泡排序\n",
    "    - （6）$O(n^3)$：立方阶，如两个n阶矩阵的乘法运算\n",
    "    - （7）$O(2^n)$：指数阶，如n个元素集合的所有子集的算法\n",
    "    - （8）$O(n!)$：阶乘阶，如n个元素全部排列的算法"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 时间复杂度的计算方法\n",
    "    - （1）找出算法中重复执行次数最多的语句的次数来估算算法的时间复杂度；\n",
    "    - （2）保留算法的最高次方，忽略所有低次方和高次方的系数；\n",
    "    - （3）将算法执行次数的数量级使用O函数表示。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 排序算法\n",
    "\n",
    "- 排序算法基础的有三种：\n",
    "    - 交换排序（经典的冒泡排序）\n",
    "    - 选择排序\n",
    "    - 插入排序\n",
    "- 然后在三种排序基础上优化了几种排序方式：\n",
    "    - 快速排序（属于交换排序）\n",
    "    - 希尔排序（属于插入排序）\n",
    "    - 归并排序（属于选择排序）\n",
    "    \n",
    "- 几种排序方法的比较\n",
    "\n",
    "\n",
    "排序算法|平均复杂度|最好复杂度|最坏复杂度|稳定性|说明\n",
    "-|-|-|-|-|-\n",
    "交换排序|$O(n^2)$|$O(n)$|$O(n^2)$|稳定| 规模n小较好\n",
    "选择排序|$O(n^2)$|$O(n^2)$|$O(n^2)$|不稳定|规模n小较好\n",
    "插入排序|$O(n^2)$|$O(n)$|$O(n^2)$|稳定|大部分有序的数据较好\n",
    "快速排序|$O(nlogn)$~$O(n^2)$|$O(nlogn)$|$O(n^2)$|不稳定|规模n大比较好\n",
    "希尔排序|$O(nlogn)$|$O(n)$|$O(n^2)$|不稳定|与步长有关\n",
    "归并排序|$O(nlogn)$|$O(nlogn)$|$O(nlogn)$|稳定|规模n大比较好"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **提示：**这里对排序基础算法进行讲解说明。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 交换排序\n",
    "\n",
    "- 交换排序的实现算法是：\n",
    "    - 循环对数据序列进行遍历\n",
    "    - 在循环中对相邻的两个元素进行比较，然后把较大的元素放到后面（正向排序），在一轮比较完后最大的元素就放在了最后一个位置；\n",
    "    - 然后再次循环（循环次数每次减1，因为每次都找到一个最大或者最小的值，只对剩余的继续交换排序）；\n",
    "    \n",
    "    \n",
    "    \n",
    "- 因为这种每次交换找到一个最大最小，像一个气泡从水底冒出水面的过程。所以该算法俗称冒泡排序。\n",
    "\n",
    "\n",
    "\n",
    "- 时间复杂度是$O(n^2)$：因为用到二重循环。\n",
    "\n",
    "\n",
    "- 下面是交换排序的实现："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 3, 6, 7, 9]\n"
     ]
    }
   ],
   "source": [
    "def bubble_sort(data):\n",
    "    size = len(data)\n",
    "    for batch in range(size - 1):   # n个元素，只需要排好n-1\n",
    "        # 每次冒泡，n个元素，只需要n-1次循环，因为取相邻元素，少循环一次\n",
    "        for i in range(size - batch - 1):  \n",
    "            # j表示每轮比较的元素的范围，因为每比较一轮就会排序好一个元素的位置，\n",
    "            # 所以在下一轮比较的时候就少比较了一个元素，所以要减去i\n",
    "            if data[i] > data[i + 1]:\n",
    "                data[i], data[i + 1] = data[i + 1], data[i]    # 这个语法对元组无效\n",
    "\n",
    "\n",
    "lst = [3,6,2,9,1,3,7]\n",
    "bubble_sort(lst)\n",
    "print(lst)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 选择排序\n",
    "\n",
    "- 选择排序的算法是：\n",
    "    - 循环遍历数据序列；\n",
    "    - 所有的元素都和第一个元素进行比较，如果比第一个元素大，就和第一个元素进行交换；这样通过交换第一个元素就输最大元素；这里交换是所有都与第一个交换，不是相邻交换。\n",
    "    - 然后对除第一个以外的元素遍历，并与第二个元素比较；\n",
    "    - 一次类推；\n",
    "    \n",
    " \n",
    "- 因为也是二重循环，所以时间复杂度为O(n2)。\n",
    "\n",
    "- **重点问题：**选择排序的稳定性问题\n",
    "    - 选择排序因为对相同的值，会破坏原来顺序，这种结果称为不稳定。\n",
    "    - 排序的不稳定性，对简单数据来说稳定不稳定，没有多大意义，但对一些结构数据就显得特别有意义：\n",
    "        - 比如学生数据，原始数据按照学号排序，但对分数排序后，希望相同分数的学生也是按照序号排序的，但是选择排序后，相同分数的学号的顺序有可能不再按照顺序排列。这个时候，排序的稳定性的意义就特别重要。\n",
    "\n",
    "- 下面是选择排序的实现代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 3, 6, 7, 9]\n"
     ]
    }
   ],
   "source": [
    "def selection_sort(data):\n",
    "    size = len(data)\n",
    "    for batch_size in range(size - 1, 0, -1):   # size-1，...., 4, 3, 2, 1   # 注意0不包含\n",
    "        for i in range(batch_size):\n",
    "            if data[i] > data[batch_size]:\n",
    "                data[i], data[batch_size] = data[batch_size], data[i]\n",
    "\n",
    "\n",
    "lst = [3,6,2,9,1,3,7]\n",
    "selection_sort(lst)\n",
    "print(lst)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 插入排序\n",
    "\n",
    "- 插入排序的算法是：\n",
    "    - 把数据序列分成两个部分：已经排序，未排序；初始化默认第一个元素是已经排序；\n",
    "    - 取未排序中第一个数据，并循环遍历已经排序的部分的每个数据，比较两个数据大小，并找到相应位置，把未排序的数据插入到排序数据中。\n",
    "    - 依次类推，直到未排序部分数据为空。\n",
    "\n",
    "\n",
    "- 插入排序的时间复杂度为：$O(n^2)$\n",
    "    - 因为算法也使用双重循环。\n",
    "    \n",
    "\n",
    "- 插入排序实现代码如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 3, 6, 7, 9]\n"
     ]
    }
   ],
   "source": [
    "def insert_sort(data):\n",
    "    size = len(data)\n",
    "    for boundary in range(1, size):   # 第一个为已排序\n",
    "        # 第二个以后的为未排序\n",
    "        # 对已排序进行循环遍历，找出适当的位置（遍历从后往前遍历）\n",
    "        for i in range(boundary, 0, -1):   #   注意data[boundary]就是未排序的第一个\n",
    "            if data[i] < data[i - 1]:       # data[i - 1]\n",
    "                data[i], data[i - 1] = data[i - 1], data[i]   # 边查找边改变位置\n",
    "\n",
    "lst = [3,6,2,9,1,3,7]\n",
    "insert_sort(lst)\n",
    "print(lst)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 查找算法\n",
    "\n",
    "- 查找算法也是最常用，最基本的算法之一，用来对给定的某个值，在目标数据集中确定其是否存在以及位置。\n",
    "- 常见的查找算法有：\n",
    "    - 顺序查找\n",
    "    - 插值查找\n",
    "        - 二分查找\n",
    "        - 斐波那契查找\n",
    "    - 树表查找\n",
    "    - 分块查找\n",
    "    - 哈希查找\n",
    "    \n",
    "- 下面我们介绍顺序查找，插值查找算法,二分查找算法。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 顺序查找\n",
    "\n",
    "- 顺序查找是最直接的查找方式，其算法思维比较简单：\n",
    "    - 遍历被搜索的数据序列，逐一判定是否相等。\n",
    "    - 相等就结束搜索，并返回位置。\n",
    "    - 如果遍历所有数据项，都没有相等的数据项，则表示搜索值不存在，返回-1或者抛出异常。\n",
    "\n",
    "\n",
    "- 该算法时间复杂度度量：$O(n)$\n",
    "    - 最坏情况：目标项位于列表的末尾，或者根本就不在列表之中，则算法必须访问每一个项，需要遍历整个数据序列，因此，顺序搜索的最坏情况的复杂度为O(n)。\n",
    "\n",
    "    - 最好的情况：算法只进行了1次迭代就在第1个位置找到目标项，复杂度为O(1)。\n",
    "\n",
    "    - 平均情况：把在每一个可能的位置找到目标项所需的迭代次数相加，并且总和除以n。因此，算法执行了(n+1)/2次迭代，对于很大的n，常数因子2的作用并不大，因此，平均情况下的复杂度仍然为O(n)。\n",
    "\n",
    "\n",
    "- 算法实现如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "def sequential_search(data, item):\n",
    "    idx = 0\n",
    "    for v in data:\n",
    "        if v == item:\n",
    "            return idx\n",
    "        idx += 1\n",
    "    return -1\n",
    "\n",
    "\n",
    "lst = [3, 9, 5, 2, 6, 1, 4, 7, 8]\n",
    "\n",
    "re = sequential_search(lst, 5)\n",
    "print(re)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 二分查找\n",
    "\n",
    "- 二分查找条件\n",
    "    - 有序数据\n",
    "    - 这个条件是容易满足的，因为数据结构中有集合，集合在生成结构数据就是按照有序管理的。\n",
    "    \n",
    "- 二分查找算法：\n",
    "    - 在一个有序的数据列表中,先取中间的值，用中间值与查找值比较，排除不在的一般数据；\n",
    "    - 在剩下的一半中继续按照对半的方式查找；直到找到为止，或者整个数据序列没有数据为止。\n",
    "    \n",
    "- 二分查找的时间复杂度度量：$O(log_{2}n)$\n",
    "    - 在最坏的情况下，循环要运行列表的大小除以2直到得到的商为1的次数，对于大小为n的列表，实际上执行了n/2/2.../2的连续除法，直到结果为1。\n",
    "    - 假设k是用n除以2的次数，要求解k，让$\\dfrac{n}{2^k}=1$就行了，那么$n=2^k$，$k=log_{2}n$，因此，二叉搜索的最坏情况的复杂度为$O(log_{2}n)$。\n",
    "    \n",
    "    - 最好情况就是，中间那个值就是要查找的值。\n",
    "    \n",
    "    - 平均的情况：考虑每种情况的平均值，取近似值，时间复杂度也是：$O(log_{2}n)$\n",
    "\n",
    "- 下面是二分查找算法实现代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n"
     ]
    }
   ],
   "source": [
    "def binary_search(data, item):\n",
    "    size = len(data)\n",
    "    low = 0\n",
    "    high = size - 1\n",
    "    while low <= high:\n",
    "        mid = int(low + ((high - low) / 2)) ##使用(low+high)/2会有整数溢出的问题\n",
    "        if data[mid] < item:\n",
    "            low = mid + 1\n",
    "        elif data[mid] > item:\n",
    "            high = mid - 1\n",
    "        else:\n",
    "            return mid\n",
    "    return -1\n",
    "\n",
    "\n",
    "st = [1, 3, 4, 8, 9, 16, 18, 28]\n",
    "re = binary_search(st, 16)\n",
    "print(re)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 插值查找\n",
    "\n",
    "- 插值查找算法：\n",
    "    - 插值查找算法在二分法基础上改进，在离查找值更近的地方划分查找区域。\n",
    "    - 把二分法的分隔点计算方式：`mid = int(low + ((high - low) / 2))`改进为自适应划分方式：\n",
    "        - `mid = low + int((heigth - low) * (item - data[low])/(data[heigth] - data[low]))`\n",
    "        - 理解`(item - data[low])/(data[heigth] - data[low])`：计算查找值在整个查找序列中的位置比例。\n",
    "            - `(data[heigth] - data[low])` 计算查找区域的长度\n",
    "    \n",
    "- 插值查找的时间复杂度度量为：$O(log_2(log_2n))$    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8\n"
     ]
    }
   ],
   "source": [
    "def Interpolation_search(data,item):\n",
    "    size = len(data)\n",
    "    low = 0\n",
    "    heigth = size -1\n",
    "    time = 0\n",
    "    while low <= heigth:\n",
    "        time += 1\n",
    "        mid = low + int((heigth - low) * (item - data[low])/(data[heigth] - data[low]))\n",
    "        if item > data[mid]:\n",
    "            low = mid + 1\n",
    "        elif item <data[mid]:\n",
    "            heigth = mid - 1\n",
    "        else:\n",
    "            return mid\n",
    "\n",
    "\n",
    "lst = [1, 2, 5, 7, 9, 11, 15, 16, 18, 28]\n",
    "re = Interpolation_search(lst, 18)\n",
    "print(re)\n"
   ]
  }
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